17230 Spark Jobs - Page 5

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As part of the Data team within HR, the BCG Global Data Stewards are responsible for the design and implementation of an enterprise-wide Data Governance strategy that supports the efficient usage of data across the firm by ensuring key sets of fully governed, curated, and globally integrated data products & assets. Under the guidance of the Global Data Owner, each Global Data Steward supports key data initiatives (both functional and technical) in the domain, including defining and executing principles, harmonized definitions, quality assessments, and governance processes to ensure safe usage and evolution of enterprise-wide products and assets. Specifically, the Compensation Data Steward will develop a data governance strategy for BCG’s Compensation data domain. This role is embedded within a Compensation Transformation project, and this role will work to ensure that compensation data governance aligns with broader transformation objectives. You will collaborate with HR, Data, Finance, and Enterprise Services leaders, as well as their corresponding Business Intelligence, Operations, and Technology teams, to ensure a strong, compliant, and strategically valuable Compensation data ecosystem. The Compensation domain includes salary structures, bonus programs, pay equity analytics, and long-term incentive plans across BCG. It supports BCG’s ability to make informed, strategic, and equitable compensation decisions for employees across the globe. This function is critical in ensuring compliance with global and local pay regulations, supporting fairness and transparency, and enabling data-driven insights into compensation trends and workforce planning. The ideal candidate will have a goal-oriented mindset and enjoy working with cross-functional teams to deliver Data Governance capabilities and support exceptional Data Products. They will have 8+ years of experience in Data Governance, preferably in Compensation, HR, or Finance data, and be well-versed in compensation data structures, analytics, and regulatory compliance challenges. Additionally, they should have strong communication skills with proven experience in stakeholder engagement, including working with senior business and technical teams to showcase the business benefits of Data Governance. Among Your Responsibilities, You Will Define an overall vision, roadmap, and priorities for our Compensation Data Governance Strategy Work closely with the Global HR Data Governance Director, the HR Data Owner, and other Global Data Stewards (e.g., Worker and Candidate data) to develop a Compensation data strategy Understand end-to-end Compensation data flows across BCG, including salary structures, pay adjustments, incentives, and compliance requirements Gather business requirements from Compensation, HR, and Finance stakeholders to identify data gaps and opportunities Align the Compensation Data Governance strategy with broader BCG HR, Finance, and Data leadership priorities Create and enforce data quality policies and standards to maintain compliance and support decision-making Ensure that data structures, processes, and governance mechanisms support Compensation Transformation objectives Work with HR Technology and IT teams to integrate governance controls into new Compensation systems and platforms Ensure sustainable delivery of customer value on the agreed Data Governance roadmap Collaborate with other Global Data Stewards and IT teams to ensure consistency across BCG’s Data Governance strategy Foster collaboration with Compensation, HR, Finance, and Data teams to ensure alignment on data opportunities and priorities Provide training and guidance on Compensation data best practices, compliance, and governance frameworks Ensure that areas of priority are identified (e.g. Metadata Management, Data Lineage, Data Quality) and a cohesive action plan is developed to ensure impactful value-add to end customers Clear narrative and articulation of Data Governance principles linked to business value-add, communicating these regularly to senior stakeholders across Data and HR. Track and report on specific and measurable aligned KPIs and key results, developing metrics to measure maturing with Career Development data Prioritize identified data opportunities clearly communicating with required stakeholders to ensure efficient delivery Proactively identify and escalate risks and mitigation plans, along with key decisions, to relevant stakeholders Engage with the Data Governance community to ensure alignment and best practices Collaborate with other Global Data Stewards and IT teams to ensure consistency across BCG’s Data Governance strategy Foster collaboration with Compensation, HR, Finance, and Data teams to ensure alignment on data opportunities and priorities Provide training and guidance on Compensation data best practices, compliance, and governance frameworks What You'll Bring Bachelor’s or higher degree in Computer Science, Mathematics, Statistics, Finance, HR, or related fields 8+ years of experience in Data Governance, Compensation Data Management, HR Data Analytics, or Finance Data Strong knowledge of total Compensation data concepts, benefits, base, bonus, pay structures, incentives, and compliance Understanding of Data Governance frameworks (DAMA DMBoK, EDM Council’s DCAM) is beneficial Hands-on experience using Data Governance tools (e.g., Collibra, Talend, Informatica) Experience with Compensation systems and data platforms such as Workday, SAP, or Snowflake Strong stakeholder engagement and communication skills to collaborate with diverse, global teams Who You'll Work With BCG Global HR and Data teams: the HR Data Product Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product development teams BCG HR, Finance and Data teams; business intelligence and analytics, operations, and technical teams, among other business functions BCG Leadership: Heads of HR, Recruiting, Finance, and Enterprise Services among other business functions. The broader Compensation Transformation project team The Data Governance network: Data Owners, Stewards, and Data Governance Directors Additional info YOU’RE GOOD AT Defining and implementing a global Compensation Data Governance framework and ensuring data quality, security, and compliance Understanding Compensation data structures, pay equity analytics, and salary frameworks Leading Compensation data-related governance initiatives, including Data Lineage, Master Data Management (MDM), Data Quality, and Data Architecture Partnering with HR, Finance, and IT teams to prioritize Compensation data initiatives. Developing Compensation data analytics, metrics, and dashboards to track governance maturity Ensuring adherence to relevant global and local data policies, regulations, and standards Communicating with senior executive teams about the importance of Compensation data strategy Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Who We Are Our Global HR Shared Services Center (HRSSC), located across three global hubs—India, Costa Rica, and Portugal—deliver centralized and efficient support for HR processes worldwide. By working here, you’ll be part of our team that’s transforming how we deliver world-class HR services to our employees, globally. We support the full employee lifecycle with precision, enable efficiency gains through smart systems and collaboration, whilst delivering measurable outcomes that enhance every employee’s journey at BCG. You will be a key member of our Global HR Shared Services Center (HRSSC), supporting regional and local HR teams and employees worldwide with administrative HR processes. You’ll collaborate with colleagues across multiple geographies and time zones, forming part of a close-knit global HR network that values teamwork, ownership, and continuous learning. Key Responsibilities Include Preparing and processing employee paperwork for new hires, promotions, transfers, exits, and changes. Maintaining personnel records in compliance with legal requirements and internal standards. Supporting onboarding and background verification including induction plans and welcome communications. Managing employee documentation requests including verification letters, references, and visa invitation letters. Delivering reporting on employee data (e.g. distribution lists, anniversaries, milestones). Supporting internal audits with required documentation and timely response. What You'll Bring A graduation degree. ~1–3+ years of relevant experience in HR operations, shared services, or a process-driven role. Familiarity with Workday (preferred) or other HR ERP systems. Proficiency in Microsoft Office (Excel, PowerPoint, Outlook, Word, Visio). Experience working in a professional services or multinational environment. Fluent verbal and written English language skills are required. Proficiency in Mandarin (both spoken and written) is also essential, as this role involves supporting China Who You'll Work With Be part of a respected global brand that invests in its people. Exposure to world-class HR systems, like Workday. Work in a culture that prioritizes learning, diversity, and inclusion. Join a growing team where your work directly drives global impact. Additional info You’re Good At Thriving under pressure with exceptional attention to detail. Staying flexible and reliable in a dynamic and changing environment. Managing multiple tasks with structure and discipline. Handling sensitive data with confidentiality and professionalism. Communicating clearly and professionally, both in writing and speech. Creating meaningful experiences for every customer through exceptional service. Collaborating across cultures and time zones. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Where Data Does More. Join the Snowflake team. Snowflake’s Support team is expanding! We are looking for a Senior Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking. Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers’ success. We form partnerships with customers by listening, learning, and building connections. Snowflake’s values are key to our approach and success in delivering world-class Support. Putting customers first, acting with integrity, owning initiative and accountability, and getting it done are Snowflake's core values, which are reflected in everything we do. As a Senior Cloud Support Engineer , your role is to delight our customers with your passion and knowledge of Snowflake Data Warehouse. Customers will look to you for technical guidance and expert advice with regard to their effective and optimal use of Snowflake. You will be the voice of the customer regarding product feedback and improvements for Snowflake’s product and engineering teams. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Based on business needs, you may be assigned to work with one or more Snowflake Priority Support customers . You will develop a strong understanding of the customer’s use case and how they leverage the Snowflake platform. You will deliver exceptional service, enabling them to achieve the highest levels of continuity and performance from their Snowflake implementation. Ideally, you have worked in a 24x7 environment, handled technical case escalations and incident management, worked in technical support for an RDBMS, been on-call during weekends, and are familiar with database release management. AS A SENIOR CLOUD SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL: Drive technical solutions to complex problems providing in-depth analysis and guidance to Snowflake customers and partners using the following methods of communication: email, web, and phone Adhere to response and resolution SLAs and escalation processes to ensure fast resolution of customer issues that exceed expectations Demonstrate good problem-solving skills and be process-oriented Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues Document known solutions to the internal and external knowledge base Report well-documented bugs and feature requests arising from customer-submitted requests Partner with engineering teams in prioritizing and resolving customer requests Participate in a variety of Support initiatives Provide support coverage during holidays and weekends based on business needs OUR IDEAL SENIOR CLOUD SUPPORT ENGINEER WILL HAVE THE FOLLOWING: Bachelor’s or Master’s degree in Computer Science or equivalent discipline. 5+ years experience in a Technical Support environment or a similar technical function in a customer-facing role. Excellent written and communication skills in English with attention to detail. Ability to reproduce and troubleshoot complex technical issues. In-depth knowledge of one of the major cloud service providers' ecosystems. ETL/ELT tools knowledge such as AWS Glue, EMR, Azure Data Factory, and Informatica. Expert working knowledge of internet protocols such as TCP/IP, HTTP/S, SFTP, and DNS as well as the ability to use diagnostic tools to troubleshoot connectivity issues. In-depth understanding of SSL/TLS handshake and troubleshooting SSL negotiation Advanced knowledge in driver configuration and troubleshooting for ODBC, JDBC, GO, and .NET. High level of proficiency with system troubleshooting on a variety of operating systems (Windows, Mac, *Nix), including many of the following tools: tcpdump, lsof, Wireshark, netstat, sar, perfmon, and process explorer. Debugging experience in Python, Java, or Scala. Experienced with software development principles, including object-oriented programming and version control systems (e.g., Git, GitHub, GitLab) Familiarity with Kafka and Spark technologies. NICE TO HAVE: Understanding of data loading/unloading process in Snowflake. Understanding Snowflake streams and tasks. Expertise in database migration processes. SQL skills, including JOINS, Common Table Expressions (CTEs), and Window Functions. Experience in supporting applications hosted on Amazon AWS or Microsoft Azure. Familiarity with containerization technologies like Docker and Kubernetes. Working experience in Data Visualization tools such as Tableau, Power BI, matplotlib, seaborn, and Plotly. Experience developing CI/CD components for production-ready data pipelines. Experience working with big data and/or MPP (massively parallel processing) databases Experienced with data warehousing fundamentals and concepts Database migration and ETL experience Familiarity with Data Manipulation and Analysis such as pandas, NumPy, scipy. Knowledge of authentication and authorization protocols (OAuth, JWT, etc.). SPECIAL REQUIREMENTS: Participate in pager duty rotations during nights, weekends, and holidays. Ability to work the 4th/night shift, which typically starts at 10 pm IST. Applicants should be flexible with schedule changes to meet business needs. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Job Title: Software Test Automation Engineer Experience: 3 to 5 years Job Summary: We are seeking a skilled Test Automation Engineer with expertise in data engineering tools and cloud platforms. The ideal candidate will have hands-on experience in building and maintaining automated test frameworks for data pipelines and real-time streaming systems. Key Responsibilities: Design, develop, and maintain automated test suites for data pipelines and streaming applications. Collaborate with data engineers to validate data transformations and ensure data quality. Write and maintain Python-based test scripts and utilities. Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions). Write and execute complex SQL queries to test data quality, transformations, and integrity. Participate in testing for Spark or PySpark-based data processing. Apply understanding of data modeling and dimensional models (star/snowflake schema). Utilize data governance and lineage tools. Familiarity with containerized environments (Docker, Kubernetes). Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a talented and motivated Data Engineer to join our growing data team. You will play a key role in building scalable data pipelines, optimizing data infrastructure, and enabling data-driven solutions. Primary Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing Build and optimize data models and data warehouses to support analytics and reporting Collaborate with analysts and software engineers to deliver high-quality data solutions Ensure data quality, integrity, and security across all systems Monitor and troubleshoot data pipelines and infrastructure for performance and reliability Contribute to internal tools and frameworks to improve data engineering workflows Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 5+ years of experience working on commercially available software and / or healthcare platforms as a Data Engineer 3+ years of solid experience designing and building Enterprise Data solutions on cloud 1+ years of experience developing solutions hosted within public cloud providers such as Azure or AWS or private cloud/container-based systems using Kubernetes/OpenShift Experience with some of the modern relational databases Experience with Data warehousing services preferably Snowflake Experience in using modern software engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps etc. Solid experience of operating in a quickly changing environment and driving technological innovation to meet business requirements Skilled at optimizing SQL statements Subject matter expert on Cloud technologies preferably Azure and Big Data ecosystem Preferred Qualifications Experience with real-time data streaming and event-driven architectures Experience building Big Data solutions on public cloud (Azure) Experience building data pipelines on Azure with skills Databricks spark, scala, Azure Data factory, Kafka and Kafka Streams, App services, Az Functions Experience developing RESTful Services in .NET, Java or any other language Experience with DevOps in Data engineering Experience with Microservices architecture Exposure to DevOps practices and infrastructure-as-code (e.g., Terraform, Docker) Knowledge of data governance and data lineage tools Ability to establish repeatable processes, best practices and implement version control software in a Cloud team environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Description Want to participate in building the next generation of online payment system that supports multiple countries and payment methods? Amazon Payment Services (APS) is a leading payment service provider in MENA region with operations spanning across 8 countries and offers online payment services to thousands of merchants. APS team is building robust payment solution for driving the best payment experience on & off Amazon. Over 100 million customers send tens of billions of dollars moving at light-speed through our systems annually. We build systems that process payments at an unprecedented scale with accuracy, speed and mission-critical availability. We innovate to improve customer experience, with support for currency of choice, in-store payments, pay on delivery, credit and debit card payments, seller disbursements and gift cards. Many new exciting & challenging ideas are in the works. Key job responsibilities Data Engineers focus on managing data requests, maintaining operational excellence, and enhancing core infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A3049756

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Description Want to participate in building the next generation of online payment system that supports multiple countries and payment methods? Amazon Payment Services (APS) is a leading payment service provider in MENA region with operations spanning across 8 countries and offers online payment services to thousands of merchants. APS team is building robust payment solution for driving the best payment experience on & off Amazon. Over 100 million customers send tens of billions of dollars moving at light-speed through our systems annually. We build systems that process payments at an unprecedented scale with accuracy, speed and mission-critical availability. We innovate to improve customer experience, with support for currency of choice, in-store payments, pay on delivery, credit and debit card payments, seller disbursements and gift cards. Many new exciting & challenging ideas are in the works. Key job responsibilities Data Engineers focus on managing data requests, maintaining operational excellence, and enhancing core infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A3049753

Making a career change is a big decision. Why consider Aptos? Become a part of a team that is passionate about creating and delivering cutting-edge solutions for retailers worldwide. At our company, we’re dedicated to supporting your career aspirations and helping you exceed your goals. You’ll benefit from industry-leading training, global development opportunities, and the chance to collaborate within a diverse culture across our offices in nine countries. Our inclusive culture reflects our purpose: to make a difference for every colleague, every client, every day . As a leading provider of Unified Commerce solutions for retail, our technology empowers top retail brands by optimizing product management, promotions, merchandising, and store operations. With the global shift toward our cloud-native, microservices architecture, opportunities for career growth have never been more exciting. Today, more than 100,000 retail stores in fashion, grocery, footwear, general merchandise, discount, and sporting goods rely on our solutions to generate nearly $2 trillion in annual revenue. We hope you’ll join us in driving innovation and delivering impactful solutions as we continue leading the Unified Commerce revolution. Aptos has an opening for an ML engineer to join our Bengaluru team. Aptos’ market-leading platform drives the world’s largest retailers in terms of their product pricing, promotion and merchandising decisions worldwide. Over 33,000 retail locations and $200+B in annual revenue across grocery, drug, convenience, general merchandise, discount, sporting goods stores, fashion, and eCommerce sites optimize with Aptos’ solutions. The Science team, within the Product Org, plays a central role at the company and is responsible for the different AI/ML solutions (modeling, forecasting, optimization, agentic AI etc) at Aptos. As an ML engineer on the Science team, you will get to be part of a skilled and diverse team while working with a mix of data scientists and engineers. You’ll not only have the opportunity to learn/use state-of-art machine learning techniques but also implement/roll-out modern engineering frameworks. If you’re someone who is ready to take on a challenge, drive change, and be part of an awesome team, this is the right role for you! About The Role The ML engineer role is responsible for designing, building, deploying, and evolving the end-to-end AI/ML systems at Aptos’ (demand modeling and forecasting, optimization, AI, etc.) Who you are? You have a Bachelor's/Master’s degree in computer science, engineering, or related STEM field, or equivalent work experience Strong algorithmic problem-solving skills and an analytical mindset Development experience with one or more of the following, or another similar language: Python, C/C++, Java for minimum 1 year Familiarity with Machine Learning software such as Tensorflow, Pytorch, Scikit-Learn, Spark MLLib, etc. Familiarity with GenAI / LLM concepts such as agent frameworks, workflows, evaluation, RAG, prompting, fine-tuning, etc. Able to communicate, collaborate, and work effectively in a distributed team. Can think about and write high quality code and can demonstrate that capability, be it through job experience, schoolwork, or contributions to community projects. Complete course work/experience with Algorithms, Distributed Systems, Databases Solid understanding of software engineering concepts and methodologies Familiarity with software testing principles Enjoy tough technical challenges and are naturally intellectually curious Seek to drive change and influence others through clear and effective communication. What you’ll do? Work and interact with a diverse set of stakeholders in a cross-functional organization within an Agile environment. Perform research as required to specify and develop or enhance your product Work with product, engineers, and data scientists to translate ideas into new products, services and features Strengthen technical skills through mentorship and guidance from experienced engineers We also look for Passion Initiative and a Pioneering Spirit Quality orientation Resourcefulness and application Are you the person we’re looking for? Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. It’s what sets you apart from the rest. You start with a good understanding of the broader strategy, zoom in to assess one particular aspect of that strategy, and then zoom back out to see how changes to that particular area will affect the broader process. Expert relationship cultivator. Product managers think you’re a good partner -- because you are. Developers feel you respect their opinions -- because you do. You’re a true people person, a natural collaborator, and a highly sought-after resource. Quality orientation. You have proven success at writing quality user stories and analysis deliverables through the application of established criteria like INVEST and SMART. Your work is thoughtful, timely and valuable to the team. Resourcefulness and application. At Aptos, we have a pioneering spirit -- when we have questions, we find answers; when we’re faced with challenges, we find solutions. We turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it’s not just about using a variety of resources to gain knowledge -- it’s also about applying that knowledge to other areas of the job or business where it might make sense. We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. [Senior Manager Software Development Engineering] What You Will Do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Provide technical leadership to enhance the culture of innovation, automation, and solving difficult scientific and business challenges. Technical leadership includes providing vision and direction to develop scalable reliable solutions. Provide leadership to select right-sized and appropriate tools and architectures based on requirements, data source format, and current technologies Develop, refactor, research and improve Weave cloud platform capabilities. Understand business drivers and technical needs so our cloud services seamlessly, automatically, and securely provides them the best service. Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development Build strong partnership with stakeholder Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management to ensure high quality data Provide clear documentation for delivered solutions and processes, integrating documentation Collaborate with business partners to understand user stories and ensure technical solution/build can deliver to those needs Work with multi-functional teams to design and document effective and efficient solutions. Develop change management strategies and assist in their implementation. Mentor junior data engineers on standard methodologies in the industry and in the Amgen data landscape What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Basic Qualifications and Experience: Doctorate Degree /Master's degree / Bachelor's degree and 12to 17 years Computer Science, IT or related field experience Preferred Skills: Must-Have Skills: Superb communication and interpersonal skills, with the ability to work cross-functionally with multi-functional GTM, product, and engineering teams. Minimum of 10+ years overall Software Engineer or Cloud Architect experience Minimum 3+ years in architecture role using public cloud solutions such as AWS Experience with AWS Technology stack Good-to-Have Skills: Familiarity with big data technologies, AI platforms, and cloud-based data solutions. Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Experience working with teams of data scientists, software engineers and business experts to drive insights Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway. Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc) Good understanding of relevant data standards and industry trends Ability to understand new business requirements and prioritize them for delivery Experience working in biopharma/life sciences industry Proficient in one of the coding languages (Python, Java, Scala) Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.). Experience with Schema Design & Dimensional data modeling. Experience with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script Hands on experience using Databricks/Jupyter or similar notebook environment. Experience working with GxP systems Experience working in an agile environment (i.e. user stories, iterative development, etc.) Experience working with test-driven development and software test automation Experience working in a Product environment Good overall understanding of business, manufacturing, and laboratory systems common in the pharmaceutical industry, as well as the integration of these systems through applicable standards. Soft Skills: Excellent analytical and troubleshooting skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Company Size Mid-Sized Experience Required 10 - 15 years Working Days 5 days/week Office Location Delhi Role & Responsibilities Lead and mentor a team of data engineers, ensuring high performance and career growth. Architect and optimize scalable data infrastructure, ensuring high availability and reliability. Drive the development and implementation of data governance frameworks and best practices. Work closely with cross-functional teams to define and execute a data roadmap. Optimize data processing workflows for performance and cost efficiency. Ensure data security, compliance, and quality across all data platforms. Foster a culture of innovation and technical excellence within the data team. Ideal Candidate 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role. Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. Proficiency in SQL, Python, and Scala for data processing and analytics. Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services. Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks. Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.). Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB. Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy and align it with business objectives. Strong leadership, communication, and stakeholder management skills. Preferred Qualifications Experience in machine learning infrastructure or MLOps is a plus. Exposure to real-time data processing and analytics. Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture. Prior experience in a SaaS or high-growth tech company. Perks, Benefits and Work Culture Testimonial from a designer: 'One of the things I love about the design team at Wingify is the fact that every designer has a style which is unique to them. The second best thing is non-compliance to pre-existing rules for new products. So I just don't follow guidelines, I help create them.' Skills: infrastructure,soc2,ansible,drive,data governance,redshift,gdpr,javascript,cassandra,design,spring boot,jenkins,docker,mongodb,java,tidb,elk,python,php,aws,snowflake,lld,chef,bigquery,gcp,golang,html,data,kafka,grafana,kubernetes,scala,css,hadoop,azure,redis,sql,data processing,spark,hld,node.js,google guice,compliance

💼Job Title: Kafka Developer 👨 💻Job Type: Fulltime 📍Location: Pune 💼Work regime: Hybrid 🔥Keywords: Kafka, Apache Kafka, Kafka Connect, Kafka Streams, and Schema Registry. Position Overview: We are looking for a Kafka Developer to design and implement real-time data ingestion pipelines using Apache Kafka. The role involves integrating with upstream flow record sources, transforming and validating data, and streaming it into a centralized data lake for analytics and operational intelligence What you will Have:- Responsibilities: Key Responsibilities : Develop Kafka producers to ingest flow records from upstream systems such as flow record exporters (e.g., IPFIX-compatible probes). Build Kafka consumers to stream data into Spark Structured Streaming jobs and downstream data lakes. Define and manage Kafka topic schemas using Avro and Schema Registry for schema evolution. Implement message serialization, transformation, enrichment, and validation logic within the streaming pipeline. Ensure exactly once processing, checkpointing, and fault tolerance in streaming jobs. Integrate with downstream systems such as HDFS or Parquet-based data lakes, ensuring compatibility with ingestion standards. Collaborate with Kafka administrators to align topic configurations, retention policies, and security protocols. Participate in code reviews, unit testing, and performance tuning to ensure high-quality deliverables. Document pipeline architecture, data flow logic, and operational procedures for handover and support. Required Skills & Qualifications : Proven experience in developing Kafka producers and consumers for real-time data ingestion pipelines. Strong hands-on expertise in Apache Kafka, Kafka Connect, Kafka Streams, and Schema Registry. Proficiency in Apache Spark (Structured Streaming) for real-time data transformation and enrichment. Solid understanding of IPFIX, NetFlow, and network flow data formats; experience integrating with nProbe Cento is a plus. Experience with Avro, JSON, or Protobuf for message serialization and schema evolution. Familiarity with Cloudera Data Platform components such as HDFS, Hive, YARN, and Knox. Experience integrating Kafka pipelines with data lakes or warehouses using Parquet or Delta formats. Strong programming skills in Scala, Java, or Python for stream processing and data engineering tasks. Knowledge of Kafka security protocols including TLS/SSL, Kerberos, and access control via Apache Ranger. Experience with monitoring and logging tools such as Prometheus, Grafana, and Splunk. Understanding of CI/CD pipelines, Git-based workflows, and containerization (Docker/Kubernetes) A little about us: Innova Solutions is a diverse and award-winning global technology services partner. We provide our clients with strategic technology, talent, and business transformation solutions, enabling them to be leaders in their field. Founded in 1998, headquartered in Atlanta (Duluth), Georgia. Employs over 50,000 professionals worldwide, with annual revenue approaching $3.0B. Delivers strategic technology and business transformation solutions globally. Operates through global delivery centers across North America, Asia, and Europe. Provides services for data center migration and workload development for cloud service providers. Awardee of prestigious recognitions including: Women’s Choice Awards - Best Companies to Work for Women & Millennials, 2024 Forbes, America’s Best Temporary Staffing and Best Professional Recruiting Firms, 2023 American Best in Business, Globee Awards, Healthcare Vulnerability Technology Solutions, 2023 Global Health & Pharma, Best Full Service Workforce Lifecycle Management Enterprise, 2023 Received 3 SBU Leadership in Business Awards Stevie International Business Awards, Denials Remediation Healthcare Technology Solutions, 2023

Job Description About Oracle Analytics & Big Data Service: Oracle Analytics is a complete platform that supports every role within analytics, offering cloud-native services or on-premises solutions without compromising security or governance. Our platform delivers a unified system for managing everything from data collection to decision-making, with seamless integration of AI and machine learning to help businesses accelerate productivity and uncover critical insights. Oracle Big Data Service, a part of Oracle Analytics, is a fully managed, automated cloud service designed to help enterprises create scalable Hadoop-based data lakes. The service work scope encompasses not just good integration with OCI’s native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud-native services in OCI. It includes doing cloud-native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service’s runtime characteristics and being able to take actions on the telemetry data is a part of the charter. We are interested in experienced engineers with expertise and passion for solving difficult problems in distributed systems and highly available services to join our Oracle Big Data Service team. In this role, you will be instrumental in building, maintaining, and enhancing our managed, cloud-native Big Data service focused on large-scale data processing and analytics. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. Minimum of 1-2 years of experience in software development, with a focus on large-scale distributed systems, cloud services, or Big Data technologies. US passport holders. This is required by the position to access US Gov regions. Expertise in coding in Java, Python with emphasis on tuning/optimization Experience with Linux systems administration, troubleshooting, and security best practices in cloud environments. Experience with open-source software in the Big Data ecosystem Experience at an organization with operational/dev-ops culture Solid understanding of networking, storage, and security components related to cloud infrastructure. Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills. Preferred Qualifications: Hands-on experience with Hadoop ecosystem (HDFS, MapReduce, YARN), Spark, Kafka, Flink and other big data technologies. Proven expertise in cloud-native architectures and services, preferably within Oracle Cloud Infrastructure (OCI), AWS, Azure, or GCP. In-depth understanding of Java and JVM mechanics Good problem-solving skills and the ability to work in a fast-paced, agile environment. Responsibilities Key Responsibilities: Participate in development and maintenance of a scalable and secure Hadoop-based data lake service. Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings Collaborate with cross-functional teams including DevOps, Security, and Product Management to define and execute product roadmaps, service updates, and feature enhancements. Becoming an active member of the Apache open source community when working on open source components Ensure compliance with security protocols and industry best practices when handling large-scale data processing in the cloud. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Description Skills Required: Bash/Shell scripting Git Hub ETL Apache Spark Data validation strategies Docker & Kubernetes (for containerized deployments) Monitoring tools: Prometheus, Grafana Strong in python Grafana-Prometheus, PowerBI/Tableau (important) Requirements Extensive hands-on experience implementing data migration and data processing Strong Experience implementing ETL/ELT processes and building data pipelines including workflow management, job scheduling and monitoring Experience with building and implementing Big Data platforms On-Prem or On Cloud, covering ingestion (Batch and Real-time), processing (Batch and real-time), Polyglot Storage, Data Access Good understanding of Data Warehouse, Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog Proven understanding and demonstrable implementation experience of big data platform technologies on the cloud (AWS and Azure) including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics, etc. Experience with source code management tools such as TFS or Git Knowledge of DevOps with CICD pipeline setup and automate Building and integrating systems to meet the business needs Defining features, phases, and solution requirements and providing specifications accordingly Experience building stream-processing systems, using solutions such as Azure Even Hub/ Kafka etc. Strong experience with data modeling and schema design Strong knowledge in SQL and no-sql Database and/or BI/DW. Excellent interpersonal and teamwork skills Experience With Leading And Mentorship Of Other Team Members Good knowledge of Agile Scrum Good communication skills Strong analytical, logic and quantitative ability. Takes ownership of a task. Values accountability and responsibility. Quick learner Job responsibilities ETL/ELT processes, data pipelines, Big Data platforms (On-Prem/Cloud), data ingestion (Batch/Real-time), data processing, Polyglot Storage, Data Governance, Cloud (AWS/Azure), IAM, SSO, Cluster monitoring, Log Analytics, source code management (Git/TFS), DevOps, CICD automation, stream processing (Kafka, Azure Event Hub), data modeling, schema design, SQL/NoSQL, BI/DW, Agile Scrum, team leadership, communication, analytical skills, ownership, quick learner What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Fission Labs Website: https://www.fissionlabs.com/ Work Location: Hyderabad Notice Period: Immediate to 30 Days Role Overview: Omada is on a mission to build next-gen intelligent systems that integrate real-time APIs, cloud-native infrastructure, and external AI capabilities. We’re looking for a skilled Python Engineer with deep knowledge of FastAPI, AWS, and practical experience working with GenAI APIs and data pipelines. Key Responsibilities Backend & API Development ● Design, develop, and maintain robust REST APIs using FastAPI and Python. ● Build scalable microservices integrated with AWS services: Lambda, EC2, EKS, API Gateway, DynamoDB, S3. ● Implement workflow automation and event-driven pipelines using tools like Step Functions, SQS, SNS. ● Build real-time and streaming APIs using WebSockets or Kinesis where required. ● Integrate with external GenAI APIs like: 1. OpenAI (ChatGPT APIs) 2. Google Gemini APIs 3. Other third-party AI/ML APIs or services ● Design and implement web crawlers or integrate with crawling frameworks/tools to extract and process structured/unstructured data. Required Skills ● 7-9 years of backend development experience with strong skills in Python. ● Production-level experience using FastAPI. ● Strong expertise in AWS services, especially: ● Lambda, EC2, EKS, API Gateway, Step Functions, DynamoDB, S3, SNS/SQS ● Hands-on experience calling and handling responses from: 1. ChatGPT APIs (OpenAI) 2. Google Gemini APIs ● Familiarity with writing or integrating web crawlers (e.g., BeautifulSoup, Playwright, Scrapy). ● Experience with Git and GitHub, including branching strategies, pull requests, and code reviews. ● Comfortable working independently in a fast-paced startup environment. ● Previous work experience on Chat Agents Preferred Qualifications ● Bachelor’s degree in Computer Science, Engineering, or a related field. ● Familiarity with NoSQL and relational databases (DynamoDB, PostgreSQL, etc.). ● Experience in CI/CD workflows, Docker, and Kubernetes. ● Bonus: Exposure to distributed data processing frameworks like Apache Beam or Spark. ● Bonus: Prior experience integrating with external data and media APIs. Why Join Omada ● Build API-first systems integrated with the latest AI and cloud technologies. ● Help shape scalable, real-time backend architecture in a greenfield product. ● Work with a modern Python + AWS + GenAI stack.

Job Description About Oracle Analytics & Big Data Service: Oracle Analytics is a complete platform that supports every role within analytics, offering cloud-native services or on-premises solutions without compromising security or governance. Our platform delivers a unified system for managing everything from data collection to decision-making, with seamless integration of AI and machine learning to help businesses accelerate productivity and uncover critical insights. Oracle Big Data Service, a part of Oracle Analytics, is a fully managed, automated cloud service designed to help enterprises create scalable Hadoop-based data lakes. The service work scope encompasses not just good integration with OCI’s native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud-native services in OCI. It includes doing cloud-native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service’s runtime characteristics and being able to take actions on the telemetry data is a part of the charter. We are interested in experienced engineers with expertise and passion for solving difficult problems in distributed systems and highly available services to join our Oracle Big Data Service team. In this role, you will be instrumental in building, maintaining, and enhancing our managed, cloud-native Big Data service focused on large-scale data processing and analytics. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. Minimum of 1-2 years of experience in software development, with a focus on large-scale distributed systems, cloud services, or Big Data technologies. US passport holders. This is required by the position to access US Gov regions. Expertise in coding in Java, Python with emphasis on tuning/optimization Experience with Linux systems administration, troubleshooting, and security best practices in cloud environments. Experience with open-source software in the Big Data ecosystem Experience at an organization with operational/dev-ops culture Solid understanding of networking, storage, and security components related to cloud infrastructure. Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills. Preferred Qualifications: Hands-on experience with Hadoop ecosystem (HDFS, MapReduce, YARN), Spark, Kafka, Flink and other big data technologies. Proven expertise in cloud-native architectures and services, preferably within Oracle Cloud Infrastructure (OCI), AWS, Azure, or GCP. In-depth understanding of Java and JVM mechanics Good problem-solving skills and the ability to work in a fast-paced, agile environment. Responsibilities Key Responsibilities: Participate in development and maintenance of a scalable and secure Hadoop-based data lake service. Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings Collaborate with cross-functional teams including DevOps, Security, and Product Management to define and execute product roadmaps, service updates, and feature enhancements. Becoming an active member of the Apache open source community when working on open source components Ensure compliance with security protocols and industry best practices when handling large-scale data processing in the cloud. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description About Oracle Analytics & Big Data Service: Oracle Analytics is a complete platform that supports every role within analytics, offering cloud-native services or on-premises solutions without compromising security or governance. Our platform delivers a unified system for managing everything from data collection to decision-making, with seamless integration of AI and machine learning to help businesses accelerate productivity and uncover critical insights. Oracle Big Data Service, a part of Oracle Analytics, is a fully managed, automated cloud service designed to help enterprises create scalable Hadoop-based data lakes. The service work scope encompasses not just good integration with OCI’s native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud-native services in OCI. It includes doing cloud-native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service’s runtime characteristics and being able to take actions on the telemetry data is a part of the charter. We are interested in experienced engineers with expertise and passion for solving difficult problems in distributed systems and highly available services to join our Oracle Big Data Service team. In this role, you will be instrumental in building, maintaining, and enhancing our managed, cloud-native Big Data service focused on large-scale data processing and analytics. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. Minimum of 1-2 years of experience in software development, with a focus on large-scale distributed systems, cloud services, or Big Data technologies. US passport holders. This is required by the position to access US Gov regions. Expertise in coding in Java, Python with emphasis on tuning/optimization Experience with Linux systems administration, troubleshooting, and security best practices in cloud environments. Experience with open-source software in the Big Data ecosystem Experience at an organization with operational/dev-ops culture Solid understanding of networking, storage, and security components related to cloud infrastructure. Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills. Preferred Qualifications: Hands-on experience with Hadoop ecosystem (HDFS, MapReduce, YARN), Spark, Kafka, Flink and other big data technologies. Proven expertise in cloud-native architectures and services, preferably within Oracle Cloud Infrastructure (OCI), AWS, Azure, or GCP. In-depth understanding of Java and JVM mechanics Good problem-solving skills and the ability to work in a fast-paced, agile environment. Responsibilities Key Responsibilities: Participate in development and maintenance of a scalable and secure Hadoop-based data lake service. Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings Collaborate with cross-functional teams including DevOps, Security, and Product Management to define and execute product roadmaps, service updates, and feature enhancements. Becoming an active member of the Apache open source community when working on open source components Ensure compliance with security protocols and industry best practices when handling large-scale data processing in the cloud. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Role Purpose Mode : Hybrid Location : Pune Experience : 5 to 8 years Core Competencies, Knowledge And Experience 5-7 years’ experience in managing large data sets, simulation/ optimization and distributed computing tools. Excellent communication & presentation skills with track record of engaging with business project leads. Role Purpose Primary responsibility is to define data lifecycle, including data models and data sources for analytics platform, gathering data from business and cleaning them in order to provide ready-to-work inputs for Data Scientists Apply strong expertise in in automating end to end data science pipelines & big data pipelines (Collect, ingest, store , transform and optimize scale) The incumbent will work on the assigned projects & it's stakeholder alongside Data Scientists to understand the business challenges faced by them. The work involves working with large data sets, simulation/ optimization and distributed computing tools. The candidate works with the assigned business stakeholder(s) to agree scope, deliverables, process and expected outcomes from the products and services developed. Must Have Technical / Professional Qualifications Experience working with large data sets, simulation/ optimization and distributed computing tools Experience in transformation data with Apache spark for Data Science activities Experience in working with distributed storage on cloud (AWS/GCP) or HDFS Experience in building data pipelines with Airflow Experience in ingesting data from different sources using Kafka/Sqoop/Flume/ Nifi Experience in solving simple to complex big data platform/framework issues Experience in building real time analytics system with Apache Spark, Flink & Kafka Experience in Scala, Python, Java & R Experience in working with NoSQL databases (Cassandra, Mongo DB, HBase, Redis) Key Accountabilities And Decision Ownership Understand the data science problems and design & schedule end to end pipelines For the given problem identify the right big data technologies to solve the problem in an optimized way Automate the data science pipelines, deploy ML algorithms and track the performance Build customer 360, feature store for different machine learning problems Build data model for machine learning feature store on high velocity, flexible schema databases VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Description Data Scientist Requirements Full-stack AI Engineer Must Have: Programming language – Python, Java/Scala Must have : Experience with data processing libraries like Pandas, NumPy, and Scikit-learn Must have : Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc. Must have: Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc Good-to-have : Handson experience with deployment & orchestration tools – Docker, Kubernetes, Helm Good-to-have : Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) Good-to-have : Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) Job responsibilities Full-stack AI Engineer Must Have: Programming language – Python, Java/Scala Must have : Experience with data processing libraries like Pandas, NumPy, and Scikit-learn Must have : Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc. Must have: Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc Good-to-have : Handson experience with deployment & orchestration tools – Docker, Kubernetes, Helm Good-to-have : Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) Good-to-have : Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.