567 Glue Jobs - Page 10

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Should have developed/Worked for atleast 1 Gen AI project. Has data pipeline implementation experience with any of these cloud providers - AWS, Azure, GCP. Experience with cloud storage, cloud database, cloud data warehousing and Data lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3. Has good knowledge of cloud compute services and load balancing. Has good knowledge of cloud identity management, authentication and authorization. Proficiency in using cloud utility functions such as AWS lambda, AWS step functions, Cloud Run, Cloud functions, Azure functions. Experience in using cloud data integration services for structured, semi structured and unstructured data such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, AWS Glue, AWS EMR, Dataflow, Dataproc. Your Profile Good knowledge of Infra capacity sizing, costing of cloud services to drive optimized solution architecture, leading to optimal infra investment vs performance and scaling. Able to contribute to making architectural choices using various cloud services and solution methodologies. Expertise in programming using python. Very good knowledge of cloud Dev-ops practices such as infrastructure as code, CI/CD components, and automated deployments on cloud. Must understand networking, security, design principles and best practices in cloud. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, PySpark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform - Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale . Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model:: Direct placement with client This is remote role Shift timings::10 AM to 7 PM

Responsibilities: * Design and implement scalable cloud architectures on AWS using Aws CloudFormation, Python, Terraform, Kinesis, Lambda, Glue, S3, Redshift, DynamoDB, OLAP & OLTP databases with SQL. Flexi working Work from home Health insurance Performance bonus Provident fund Mobile bill reimbursements

Role Overview: EssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact. This is not a traditional marketing roleyour job is to engineer growth through product innovation, user journey optimization, and experimentation. Youll be the bridge between editorial, tech, and analyticsturning insights into actions that drive sustainable audience and revenue growth. Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention. Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior. Optimize high-traffic areas of the sitelanding pages, article CTAs, newsletter modulesfor conversion and time-on-page. Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows. Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users. Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops. Monitor analytics pipelines from GA4 ? Athena ? dashboards to derive insights and drive decision-making. Introduce AI-driven features (LLM prompts, content auto-summaries, etc. ) that personalize or simplify the user experience. Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities. Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles. Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops. Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics. Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founder: drives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams. Proactive and solution-oriented, always spotting opportunities for real growth. Thrive in a fast-moving environment, taking ownership and driving impact.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant-Data Engineer, AWS+Python , Spark, Kafka for ETL! Responsibilities Develop, deploy, and manage ETL pipelines using AWS services, Python, Spark, and Kafka. Integrate structured and unstructured data from various data sources into data lakes and data warehouses. Design and deploy scalable, highly available , and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. Build data pipelines by building ETL processes (Extract-Transform-Load) Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Qualifications Experience in designing, implementing data pipelines, build data applications, data migration on AWS Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift Experience of Databricks will be added advantage Strong experience in Python and SQL Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift. Advanced programming skills in Python for data processing and automation. Hands-on experience with Apache Spark for large-scale data processing. Experience with Apache Kafka for real-time data streaming and event processing. Proficiency in SQL for data querying and transformation. Strong understanding of security principles and best practices for cloud-based environments. Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Qualifications/ Skills Master&rsquos Degree-Computer Science, Electronics, Electrical. AWS Data Engineering & Cloud certifications, Databricks certifications Experience with multiple data integration technologies and cloud platforms Knowledge of Change & Incident Management process Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant, AWS ETL, Glue, Lambda, S3 ! Responsibilities . Design and deploy scalable, highly available , and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) . Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. . Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. . Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc ) for high availability with low cost . Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. . Build data pipelines by building ETL processes (Extract-Transform-Load) . Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. . Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs . Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements . Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems . Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security . Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way . Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Qualifications . Experience in designing, implementing data pipelines, build data applications, data migration on AWS . Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift . Experience of Databricks will be added advantage . Strong experience in Python and SQL . Strong understanding of security principles and best practices for cloud-based environments. . Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. . Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. . Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Qualifications/ Skills . Master&rsquos Degree -Computer Science, Electronics, Electrical. . AWS Data Engineering & Cloud certifications, Databricks certifications . Experience of working with Oracle ERP . Experience with multiple data integration technologies and cloud platforms . Knowledge of Change & Incident Management process Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant- Data Engineer , AWS +Python , Spark, Kafka for ETL ! Responsibilities Develop, deploy, and manage ETL pipelines using AWS services, Python, Spark, and Kafka. Integrate structured and unstructured data from various data sources into data lakes and data warehouses. Design and deploy scalable, highly available , and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. Build data pipelines by building ETL processes (Extract-Transform-Load) Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Q ualifications Experience in designing, implementing data pipelines, build data applications, data migration on AWS Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift Experience of Databricks will be added advantage Strong experience in Python and SQL Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift. Advanced programming skills in Python for data processing and automation. Hands-on experience with Apache Spark for large-scale data processing. Experience with Apache Kafka for real-time data streaming and event processing. Proficiency in SQL for data querying and transformation. Strong understanding of security principles and best practices for cloud-based environments. Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Q ualifications / Skills Master&rsquos Degree-Computer Science, Electronics, Electrical. AWS Data Engineering & Cloud certifications, Databricks certifications Experience with multiple data integration technologies and cloud platforms Knowledge of Change & Incident Management process Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

About the Opportunity Job TypeApplication 31 July 2025 Strategic Impact As a Senior Data Engineer, you will directly contribute to our key organizational objectives: Accelerated Innovation Enable rapid development and deployment of data-driven products through scalable, cloud-native architectures Empower analytics and data science teams with self-service, real-time, and high-quality data access Shorten time-to-insight by automating data ingestion, transformation, and delivery pipelines Cost Optimization Reduce infrastructure costs by leveraging serverless, pay-as-you-go, and managed cloud services (e.g., AWS Glue, Databricks, Snowflake) Minimize manual intervention through orchestration, monitoring, and automated recovery of data workflows Optimize storage and compute usage with efficient data partitioning, compression, and lifecycle management Risk Mitigation Improve data governance, lineage, and compliance through metadata management and automated policy enforcement Increase data quality and reliability with robust validation, monitoring, and alerting frameworks Enhance system resilience and scalability by adopting distributed, fault-tolerant architectures Business Enablement Foster cross-functional collaboration by building and maintaining well-documented, discoverable data assets (e.g., data lakes, data warehouses, APIs) Support advanced analytics, machine learning, and AI initiatives by ensuring timely, trusted, and accessible data Drive business agility by enabling rapid experimentation and iteration on new data products and features Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics Be accountable for technical delivery and take ownership of solutions Lead a team of senior and junior developers providing mentorship and guidance Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress Drive technical innovation within the department to increase code reusability, code quality and developer productivity Challenge the status quo by bringing the very latest data engineering practices and techniques About youCore Technical Skills Expert in leveraging cloud-based data platform (Snowflake, Databricks) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem and experience in using a variety of core AWS data services like Lambda, EMR, MSK, Glue, S3. Experience designing event-based or streaming data architectures using Kafka. Advanced expertise in Python and SQL. Open to expertise in Java/Scala but require enterprise experience of Python. Expert in designing, building and using CI/CD pipelines to deploy infrastructure (Terraform) and pipelines with test automation. Data Security & Performance OptimizationExperience implementing data access controls to meet regulatory requirements. Experience using both RDBMS (Oracle, Postgres, MSSQL) and NOSQL (Dynamo, OpenSearch, Redis) offerings. Experience implementing CDC ingestion Experience using orchestration tools (Airflow, Control-M, etc...) Significant experience in software engineering practices using GitHub, code verification, validation, and use of copilots Bonus technical Skills: Strong experience in containerisation and experience deploying applications to Kubernetes Strong experience in API development using Python based frameworks like FastAPI Key Soft Skills: Problem-SolvingLeadership experience in problem-solving and technical decision-making. CommunicationStrong in strategic communication and stakeholder engagement. Project ManagementExperienced in overseeing project lifecycles working with Project Managers to manage resources.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Summary: At Empower, a Sr. Architect is a mix of leadership position and thought leadership role. A Sr. Architect works with enterprise architects, and both business and IT teams, to align solutions to the technology vision they help create. This role supports enterprise Architects in the development of technology strategies, reference architectures, solutions, best practices and guidance across the entire IT development organization; all the while addressing total cost of ownership, stability, performance and efficiency. The candidate will also be working with Empower Innovation Lab team as the team is experimenting with emerging technologies, such as Generative AI, and Advanced Analytics. In this rapid paced environment, the person must possess a "can-do" attitude while demonstrating a strong work ethic. This person should have a strong aptitude to help drive decisions. He or she will be actively involved in influencing the strategic direction of technology at Empower Retirement. There will be collaboration across all teams including IT Infrastructure, PMO office, Business, and third-party integrators in reviewing, evaluating, designing and implementing solutions. The Architect must understand available technology options and educate and influence technology teams to leverage them where appropriate. The Architect will recognize and propose alternatives, make recommendations, and describe any necessary trade-offs. In some cases, particularly on key initiatives, the Architect will participate on the design and implementation of end-to-end solutions directly with development teams. The ideal candidate will leverage their technical leadership/direction-setting skills with the development organization to be able to prove technical concepts quickly using a variety of tools, methods, & frameworks. Responsibilities: Help Enterprise Architect, work with peer Sr. Architects and more junior resources to define and execute on the business aligned IT strategy and vision. Develop, document, and provide input into the technology roadmap for Empower. Create reference architectures that demonstrate an understanding of technology components and the relationships between them. Design and modernize complex systems into cloud compatible or cloud native applications where applicable. Create strategies and designs for migrating applications to cloud systems. Participate in the evaluation of new applications, technical options, challenge the status quo, create solid business cases, and influence direction while establishing partnerships with key constituencies. Implement best practices, standards & guidance, then subsequently provide coaching of technology team members. Make leadership recommendations regarding strategic architectural considerations related to process design and process orchestration. Provide strong leadership and direction in development/engineering practices. Collaborate with other business and technology teams on architecture and design issues. Respond to evolving and changing security conditions. Implement and recommend security guidelines. Provide thought-leadership, advocacy, articulation, assurance, and maintenance of the enterprise architecture discipline. Provide solution, guidance, and implementation assistance within full stack development teams. Recommend long term scalable and performant architecture changes keeping cost in control. Preferred Qualifications: 12+ years of experience in the development and delivery of data systems. This experience should be relevant to roles such as Data Analyst, ETL (Extract, Transform and Load) Developer (Data Engineer), Database Administrator (DBA), Business Intelligence Developer (BI Engineer), Machine Learning Developer (ML Engineer), Data Scientist, Data Architect, Data Governance Analyst, or a managerial position overseeing any of these functions. 3+ years of experience creating solution architectures and strategies across multiple architecture domains (business, application, data, integration, infrastructure and security). Solid experience with the following technology disciplines: Python, Cloud architectures, AWS (Amazon Web Services), Bigdata (300+TBs), Advanced Analytics, Advance SQL Skills, Data Warehouse systems(Redshift or Snowflake), Advanced Programming, NoSQL, Distributed Computing, Real-time streaming Nice to have experience in Java, Kubernetes, Argo, Aurora, Google Analytics, META Analytics, Integration with 3rd party APIs, SOA & microservices design, modern integration methods (API gateway/web services, messaging & RESTful architectures). Familiarity with BI tools such as Tableau/QuickSight. Experience with code coverage tools. Working knowledge of addressing architectural cross cutting concerns and their tradeoffs, including topics such as caching, monitoring, operational surround, high availability, security, etc. Demonstrates competency applying architecture frameworks and development methods. Understanding of business process analysis and business process management (BPM). Excellent written and verbal communication skills. Experience in mentoring junior team members through code reviews and recommend adherence to best practices. Experience working with global, distributed teams. Interacts with people constantly, demonstrating strong people skills. Able to motivate and inspire, influencing and evangelizing a set of ideals within the enterprise. Requires a high degree of independence, proactively achieving objectives without direct supervision. Negotiates effectively at the decision-making table to accomplish goals. Evaluates and solves complex and unique problems with strong problem-solving skills. Thinks broadly, avoiding tunnel vision and considering problems from multiple angles. Possesses a general understanding of the wealth management industry, comprehending how technology impacts the business. Stays on top of the latest technologies and trends through continuous learning, including reading, training, and networking with industry colleagues. Data Architecture - Proficiency in platform design and data architecture, ensuring scalable, efficient, and secure data systems that support business objectives. Data Modeling - Expertise in designing data models that accurately represent business processes and facilitate efficient data retrieval and analysis. Cost Management - Ability to manage costs associated with data storage and processing, optimizing resource usage, and ensuring budget adherence. Disaster Recovery Planning - Planning for data disaster recovery to ensure business continuity and data integrity in case of unexpected events. SQL Optimization/Performance Improvements - Advanced skills in optimizing SQL queries for performance, reducing query execution time, and improving overall system efficiency. CICD - Knowledge of continuous integration and continuous deployment processes, ensuring rapid and reliable delivery of data solutions. Data Encryption - Implementing data encryption techniques to protect sensitive information and ensure data privacy and security. Data Obfuscation/Masking - Techniques for data obfuscation and masking to protect sensitive data while maintaining its usability for testing and analysis. Reporting - Experience with static and dynamic reporting to provide comprehensive and up-to-date information to business users. Dashboards and Visualizations - Creating d ashboards and visualizations to present data in an intuitive and accessible manner, facilitating data-driven insights. Generative AI / Machine Learning - Understanding of generative artificial intelligence and machine learning to develop advanced predictive models and automate decision-making processes. Understanding of machine learning algorithms, deep learning frameworks, and AI model architectures. Understanding of ethical AI principles and practices. Experience implementing AI transparency and explainability techniques. Knowledge of popular RAG frameworks and tools (e.g., LangChain, LlamaIndex). Familiarity with fairness metrics and techniques to mitigate bias in AI models. Sample technologies: Cloud Platforms – AWS (preferred) or Azure or Google Cloud Databases - Oracle, Postgres, MySQL(preferred), RDS, DynamoDB(preferred), Snowflake or Redshift(preferred) Data Engineering (ETL, ELT) - Informatica, Talend, Glue, Python(must), Jupyter Streaming – Kafka or Kinesis CICD Pipeline – Jenkins or GitHub or GitLab or ArgoCD Business Intelligence – Quicksight (preferred), Tableau(preferred), Business Objects, MicroStrategy, Qlik, PowerBI, Looker Advanced Analytics - AWS Sagemaker(preferred), TensorFlow, PyTorch, R, scikit learn Monitoring tools – DataDog(preferred) or AppDynamics or Splunk Bigdata technologies – Apache Spark(must), EMR(preferred) Container Management technologies – Kubernetes, EKS(preferred), Docker, Helm Preferred Certifications: AWS Solution Architect AWS Data Engineer AWS Machine Learning Engineer AWS Machine Learning EDUCATION: Bachelor’s and/or master’s degree in computer science or related field (information systems, mathematics, software engineering) . We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

Primary Role Function: - Create and maintain optimal data pipeline architecture, - Assemble large, complex data sets that meet functional non-functional business requirements. - Experience with AWS cloud services: EC2, Glue, RDS, Redshift - Experience with big data tools: Hadoop, Spark, Kafka, etc. - Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. - Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. - Experience with object-oriented/object function scripting languages: Python. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. - Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. - Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. - Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. - Work with data and analytics experts to strive for greater functionality in our data systems. - Writes high quality and well-documented code according to accepted standards based on user requirements Knowledge: - Thorough in-depth knowledge of design and analysis methodology and application development processes - Exhibits solid knowledge of databases - Programming experience with extensive business knowledge - University degree in Computer Science, Engineering or equivalent industry experience - Solid understanding of SDLC and QA requirements Mandatory Competencies Data on Cloud - AWS S3 Cloud - AWS Python - Airflow Python - Python DevOps - Docker

5-9 years In Data Engineering, software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment Expert level Hands to the following: Python, SQL PySpark DBT and Apache Airflow DevOps, Jenkins, CI/CD Data Governance and Data Quality frameworks Data Lakes, Data Warehouse AWS services including S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC etc. Source code control - GitHub, VSTS etc. Mandatory Competencies Python - Python Database - SQL Data on Cloud - AWS S3 DevOps - CI/CD DevOps - Github ETL - AWS Glue Beh - Communication

Role & responsibilities Have strong data engineering knowledge and cloud development exposure. Proficiency in python Proficiency in both RDBMS (Mysql preferred) and NoSql datastores Spark, Cassandra, AWS data pipeline stack (Athena, S3, Glue data catalog etc.), Airflow etc are technologies you have used. Very comfortable with data lakes, warehouses, and ETL/ELT paradigms Worked in an agile development environment.• Optional Basic knowledge of statistical analysis, mathematical modelling and machine learning Experience Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant,Kafka, GIT/bitbucket in an agile workplace. Develop high quality code with strong unit/integration tests. Comfort with test-driven development is a plus. Comfortable with exploring proven open-source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few. Proficiency in SQL, Python, Java, Spring boot, Hibernate, REST API development will be a good plus. Preferred candidate profile Last organization preference: Product based , Fintech, NBFC Minimum 2 years of relevant experience in Data Engineering.

Role & responsibilities Have strong data engineering knowledge and cloud development exposure. Proficiency in python Proficiency in both RDBMS (Mysql preferred) and NoSql datastores Spark, Cassandra, AWS data pipeline stack (Athena, S3, Glue data catalog etc.), Airflow etc are technologies you have used. Very comfortable with data lakes, warehouses, and ETL/ELT paradigms Worked in an agile development environment.• Optional Basic knowledge of statistical analysis, mathematical modelling and machine learning Experience Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant,Kafka, GIT/bitbucket in an agile workplace. Develop high quality code with strong unit/integration tests. Comfort with test-driven development is a plus. Comfortable with exploring proven open-source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few. Proficiency in SQL, Python, Java, Spring boot, Hibernate, REST API development will be a good plus. Preferred candidate profile Last organization preference: Product based , Fintech, NBFC Minimum 2 years of relevant experience in Data Engineering.

Primary Skills:AWS,Redshift,Python,Pyspark Location:- Hyderabad,Banaglore,Pune,Mumbai,Chennai

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of a Principal Consultant -AWS Developer! We are looking for candidates who have a passion for cloud with knowledge of different cloud environments. Ideal candidates should have technical experience in AWS Platform Services - IAM Role & Policies, Glue, Lamba, EC2, S3, SNS, SQS, EKS, KMS, etc . This key role demands a highly motivated individual with a strong background in Computer Science/ Software Engineering. You are meticulous, thorough and possess excellent communication skills to engage with all levels of our stakeholders. A self -starter, you are up-to-speed with the latest developments in the tech world. Responsibilities Hands-On experience & good skills on AWS Platform Services - IAM Role & Policies, Glue, Lamba, EC2, S3, SNS, SQS, EKS, KMS, etc. Must have good working knowledge on Kubernetes & Dockers. Utilize AWS services such as Amazon Glue, Amazon S3, AWS Lambda, and others to optimize performance, reliability, and cost-effectiveness. Design, develop, and maintain AWS-based applications, ensuring high performance, scalability, and security. Integrate AWS services into application architecture, leveraging tools such as Lambda, API Gateway, S3, DynamoDB, and RDS. Collaborate with DevOps teams to automate deployment pipelines and optimize CI/CD practices. Develop scripts and automation tools to manage cloud environments efficiently. Monitor, troubleshoot, and resolve application performance issues. Implement best practices for cloud security, data management, and cost optimization. Participate in code reviews and provide technical guidance to junior developers. Qualifications we seek in you! Minimum Qualifications / Skills experience in software development with a focus on AWS technologies. Proficiency in AWS services such as EC2, Lambda, S3, RDS, and DynamoDB. Strong programming skills in Python, Node.js, or Java. Experience with RESTful APIs and microservices architecture. Familiarity with CI/CD tools like Jenkins, GitLab CI, or AWS CodePipeline . Knowledge of infrastructure as code using CloudFormation or Terraform. Problem-solving skills and the ability to troubleshoot application issues in a cloud environment. Excellent teamwork and communication skills. Preferred Qualifications/ Skills AWS Certified Developer - Associate or AWS Certified Solutions Architect - Associate. Experience with serverless architectures and API development. Familiarity with Agile development practices. Knowledge of monitoring and logging solutions like CloudWatch and ELK Stack. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant, AWS ETL, Glue, Lambda, S3 ! Responsibilities . Design and deploy scalable, highly available , and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) . Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. . Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. . Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc ) for high availability with low cost . Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. . Build data pipelines by building ETL processes (Extract-Transform-Load) . Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. . Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs . Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements . Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems . Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security . Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way . Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Qualifications . Experience in designing, implementing data pipelines, build data applications, data migration on AWS . Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift . Experience of Databricks will be added advantage . Strong experience in Python and SQL . Strong understanding of security principles and best practices for cloud-based environments. . Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. . Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. . Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Qualifications/ Skills . Master&rsquos Degree -Computer Science, Electronics, Electrical. . AWS Data Engineering & Cloud certifications, Databricks certifications . Experience of working with Oracle ERP . Experience with multiple data integration technologies and cloud platforms . Knowledge of Change & Incident Management process Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Greeting from Future Focus Infotech!!! We have multiple opportunities AWS Developer Exp: 5+yrs Skills: Proficiency in Databricks platform, management, and optimization. Strong experience in AWS Cloud, particularly in data engineering and administration, with expertise in Apache Spark, S3, Athena, Glue, Kafka, Lambda, Redshift, and RDS. Proven experience in data engineering performance tuning and analytical understanding in business and program contexts. Solid experience in Python development, specifically in pySpark within the AWS Cloud environment, including experience with Terraform. Knowledge of databases (Oracle, SQL Server, PostgreSQL, Redshift, MySQL, or similar) and advanced database querying. Experience with source control systems (Git, Bitbucket) and Jenkins for build and continuous integration. Location : Mumbai Job Type- This is a Permanent position with Future Focus Infotech Pvt Ltd & you will be deputed with our client. A small glimpse about Future Focus Infotech Pvt Ltd. (Company URL: www.focusinfotech.com) If you are interested in above opportunity, send updated CV and below information to reema.b@focusinfotech.com Kindly mention the below details. Total Years of Experience: Current CTC: Expected CTC: Notice Period : Current location: Available for interview on Weekdays : Pan Card : Thanks & Regards, Reema reema.b@focusinfotech.com 8925798887

Your Job As a Data Engineer you will be a part of an team that designs, develops, and delivers Data Pipelines and Data Analytics Solutions for Koch Industries. Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch Global Solution India (KGSI) is being developed in India to extend its IT operations, as well as act as a hub for innovation in the IT function. As KSGI rapidly scales up its operations in India, its employees will get opportunities to carve out a career path for themselves within the organization. This role will have the opportunity to join on the ground floor and will play a critical part in helping build out the Koch Global Solution (KGS) over the next several years. Working closely with global colleagues would provide significant international exposure to the employees. Our Team The Enterprise data and analytics team at Georgia Pacific is focused on creating an enterprise capability around Data Engineering Solutions for operational and commercial data as well as helping businesses develop, deploy, manage monitor Data Pipelines and Analytics solutions of manufacturing, operations, supply chain and other key areas. What You Will Do ETL SolutionsDesign, implement, and manage large-scale ETL solutions using the AWS technology stack, including Event Bridge, Lambda, Glue, Step Functions, Redshift, and CloudWatch. Data Pipeline ManagementDesign, develop, enhance, and debug existing data pipelines to ensure seamless operations. Data ModellingProven Experience in Designing, Developing Data Modeling. Best Practices ImplementationDevelop and implement best practices to ensure high data availability, computational efficiency, cost-effectiveness, and data quality within Snowflake and AWS environments. EnhancementBuild and enhance Data Products, processes, functionalities, and tools to streamline all stages of data lake implementation and analytics solution development, including proof of concepts, prototypes, and production systems. Production SupportProvide ongoing support for production data pipelines, ensuring high availability and performance. Issue ResolutionMonitor, troubleshoot, and resolve issues within data pipelines and ETL processes promptly. AutomationDevelop and implement scripts and tools to automate routine tasks and enhance system efficiency Who You Are (Basic Qualifications) Bachelor's degree in Computer Science, Engineering, or a related IT field, with at least 7+ years of experience in software development. 5+ Years of hands-on experience of Designing, implementing, and managing large-scale ETL solutions using the AWS technology stack including Event Bridge, Lambda, Glue, Step Functions, Redshift, and CloudWatch. Primary skill setSQL, S3, AWS Glue, Pyspark, Python, Lambda, Columnar DB (Redshift), AWS IAM, Step Functions, Git, Terraform, CI/CD. Good to haveExperience with the MSBI stack, including SSIS, SSAS, and SSRS. What Will Put You Ahead In-depth knowledge of entire suite of services in AWS Data Service Platform. Strong coding experience using Python, Pyspark. Experience of designing and implementing Data Modeling. Cloud Data Analytics/Engineering certification. Who We Are At Koch, employees are empowered to do what they do best to make life better. Learn how ourhelps employees unleash their potential while creating value for themselves and the company.Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

We are looking for a skilled Python Developer with 5 to 10 years of professional experience in software development. The ideal candidate should have experience in the full software development lifecycle, including requirements gathering, design, implementation, testing, and maintenance. This position is available in Bangalore/Pune/Kolkata/Gurugram. Roles and Responsibility Design and develop scalable and maintainable software systems using Python and its popular frameworks like FastAPI, Flask. Build RESTful APIs and web services using Python and related libraries. Perform complex relational database queries using SQL (AWS RDS for PostgreSQL), Oracle PLSQL, and Redis databases. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain CI/CD pipelines using Jenkins Deployment and Git Repository. Ensure secure coding practices and adherence to security principles and practices in software development. Job Experience with Python's popular frameworks like FastAPI, Flask. Proficiency in building RESTful APIs and web services. Knowledge of data serialization formats like JSON and XML. Familiarity with AWS services and architecture, including EKS, API Gateway, Lambda, S3, RDS, VPC, Glue SQS, SNS, and Glue. Understanding of security principles and practices in software development, including AWS IAM and Security Manager. Ability to design scalable and maintainable software systems with experience in design patterns and best practices. Knowledge of front-end technologies (HTML, CSS, JavaScript) and how they interact with back-end services. Agile/Scrum and strong communication skills (spoken English, clarity of thought). Experience with Big Data, Data mining, machine learning, and natural language processing is a plus.

We are looking for a skilled Data Engineer Specialist with expertise in Snowflake to join our team in Hyderabad and Bangalore. The ideal candidate will have 10-12 years of experience designing and implementing large-scale data lake/warehouse integrations. Roles and Responsibility Design and implement scalable data pipelines using AWS technologies such as ETL, Kafka, DMS, Glue, Lambda, and Step Functions. Develop automated workflows using Apache Airflow to ensure smooth and efficient data processing and orchestration. Design, implement, and maintain Snowflake data warehouses, ensuring optimal performance, scalability, and seamless data availability. Automate cloud infrastructure provisioning using Terraform and CloudFormation. Create high-performance logical and physical data models using Star and Snowflake schemas. Provide guidance on data security best practices and ensure secure coding and data handling procedures. Job Bachelor's degree in computer science, engineering, or a related field. 10-12 years of experience designing and implementing large-scale data lake/warehouse integrations with diverse data storage solutions. CertificationsAWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect (preferred), Snowflake Advanced Architect and/or Snowflake Core Certification (Required). Strong working knowledge of programming languages such as Python, R, Scala, PySpark, and SQL (including stored procedures). Solid understanding of CI/CD pipelines, DevOps principles, and infrastructure-as-code practices using tools like Terraform, JFrog, Jenkins, and CloudFormation. Excellent analytical and troubleshooting skills, with the ability to solve complex data engineering issues and optimize data workflows. Strong interpersonal and communication skills, with the ability to work across teams and with stakeholders to drive data-centric projects.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=4 to 6 , jd= Experience with AWS Python AWS CloudFormation Step Functions Glue Lambda S3 SNS SQS IAM Athena EventBridge and API Gateway Experience in Python development Expertise in multiple applications and functionalities Domain skills with a quick learning inclination Good SQL knowledge and understanding of databases Familiarity with MS Office and SharePoint High aptitude and excellent problem solving skills Strong analytical skills Interpersonal skills and ability to influence stakeholders , Title=Python Developer, ref=6566420

Lead design, development, and deployment of cloud-native and hybrid solutions on AWS and GCP. Ensure robust infrastructure using services like GKE, GCE, Cloud Functions, Cloud Run (GCP) and EC2, Lambda, ECS, S3, etc. (AWS).

-Design, build & deployment of cloud-native and hybrid solutions on AWS and GCP -Exp in Glue, Athena, PySpark & Step function, Lambda, SQL, ETL, DWH, Python, EC2, EBS/EFS, CloudFront, Cloud Functions, Cloud Run (GCP), GKE, GCE, EC2, ECS, S3, etc

Required Desired Prior experience with writing and debugging python Prior experience with building data pipelines. Prior experience Data lakes in an aws environment Prior experience with Data warehouse technologies in an aws environment Prior experience with AWS EMR Prior experince with pyspark Candidate should have prior experience with AWS and Azure. Additional Cloud-based tools experience is important (see skills section) Additional desired skills include experience with the following: Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience with Python and experience with libraries such as pandas and numpy. Experience with pyspark. Experience building and optimizing big data data pipelines, architectures, and data sets.

Role:AWS Data Engineer Exp:5+ Years Loc:Hyderabad/Bangalore Notice:-Immediate Role & responsibilities Hands-on experience with AWS services including S3,Glue, API Gateway, and SQS. Strong skills in data engineering on AWS, with proficiency in Python ,pyspark & SQL. Experience with batch job scheduling and managing data dependencies. Knowledge of data processing tools like Spark and Airflow. Automate repetitive tasks and build reusable frameworks to improve efficiency. Provide Run/DevOps support and manage the ongoing operation of data services. If you are interested Please share resume to abhishikth.sanku@rite.digital