3330 Big Data Jobs - Page 42

What kind of person are we looking for We are seeking a highly skilled and motivated Business Intelligence Assistant Manager to join us. The successful candidate will be responsible for overseeing data analysis, developing insights, and supporting business strategies through data-driven decision making. This role requires a strong background in BI analytics, excellent people managerial skills, and a deep understanding of fintech industry trends. What would you get if you worked with us You'll be closely working on problem statements and influencing decisions that impact 42 million merchants. While supporting merchant experience strategy & operations, youll own data visibility, dashboarding, insights & subsequent strategic decision making. By creating powerful narratives based on support data & ticket insights, youll help the merchant experience strategy & operations team to prioritize & achieve ambitious goals. What would you get to do in this role Be an integral part of the Merchant experience strategy team and define the critical metrics to understand MX performance. Monitor performance trends and do data analysis for any interventions done to improve merchant experience. Collaborate closely with the internal to merchant experience teams like process design, Product operations, operations, Automation, etc. to highlight problems/inefficiencies identified by right analytical problem statements. Own the entire insight generation and build narratives by working on deep, thorough analysis to provide unbiased answers on the identified problem statement. Also, come up with unidentified / unknown problem statements based on new data insights. These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis Identify & help stakeholders prioritize improvement opportunities by co-owning experience & business metrics. Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical merchant experience metrics. Act like a business owner & leverage data to influence stakeholder decisions. Work with central analytics team to ensure that the dashboards are designed and built in a way that makes it easy for the teams to consume the data they need What do you need to have to apply for this position Minimum 3-5 years of analytics experience in relevant roles. Lead and mentor a team of data analysts, ensuring high performance and continuous development. Ability to manage multiple projects/BUs and priorities simultaneously. Present findings and insights to senior management and other stakeholders in a clear and concise manner. Collaborate with business units to understand their needs and provide data-driven recommendations to support strategic initiatives. Strong problem solving & analytical skills, followed by strong stakeholder management skills. Identify opportunities for process improvement and implement best practices in data analysis and reporting. Penchant for business & curiosity to understand how the product works Ability to clearly explain thoughts and ideas either verbally or in the written form. Candidates who are able to explain the story behind their analysis will find themselves at an advantage. Intuition for data and ability to handle big data sources. Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, Qlik Sense. Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis, is a pulse. Understanding of data-analysis languages such as R, Python and in core statistical concepts is good to have. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Responsibility Diagnosing, troubleshooting and fixing production software issues Developing and owning monitoring solutions for production and non-production environments and applications Develop smaller complexity features / enhancements in existing stable system components Adapt installer, shell scripts and perl scripts and aggressively automate manual tasks through scripting. Provide feedback from customer users to the team. Maintain on-going record of problem analysis and resolution activity in an on-call tracking system. Desired Skills Good exposure to MySQL and writing SQL queries. Should be able to write and understand complex joins. Automation scriptingknowledge of scripting language ExPython, perl, shell script is required. Proven success in fast paced production support environment. Programming experience in any language (C++ / Java / RubyOnRails will be a plus). Good in problem solving and analytical skills. Demonstrated ability to communicate effectively in writing, ideally with a successful track record of responding to/resolving customer issues through written communication Excellent written and oral communications skills. Prior experience in e-commerce or web services domain will be a plus. Ability to effectively work with cross functional team. Possess ability to understand business problems and provide solutions/informations related to the business requirements. Exposure to Hadoop, Hive queries will be added advantage. Experience2+ Year PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

: Job TitleSenior Data Science Engineer Lead LocationBangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI ApplicationsUtilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language ModelsCustomize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-FunctionallyWork with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimize AI WorkflowsEmploy MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring Your skills and experience 15+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs, and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or ecommerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneously How well support you

: Job TitleQA Tester, AS LocationPune, India Role Description An tester is responsible for ensuring testing strategies, plans and deliverables are executed for all applications and programs of work within their domain. Work includes: Designing and conducting testing procedures and frameworks to verify software and other technical products to ensure expected functional performance Investigating instances where software and technical products do not perform as expected Designing and conducting quality assurance practices to support business development activities Driving the adoption of recognized best practice and policy and contributes to the ongoing improvement of methodologies and assets for the business Working with their counterparts across the business to raise the standard of QA across the bank Recording of defects and the collation of metrics and KPI information for reporting purposes What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Designing and Developing Test Automation Frameworks: Design, develop, and maintain automated test scripts using Java and testing frameworks like Cucumber BDD. Collaborate with development and QA teams to understand application features and create robust, comprehensive automation suite. Integrate automated tests with CI/CD pipelines (e.g., Jenkins) to ensure continuous testing and deployment. Executing Automated Tests: Develop and execute performance, load, and stress testing strategies to ensure application reliability and scalability. Analyzing Test Results Participate in code reviews and provide feedback to ensure test code quality and best practices. Analyze test results, provide detailed reports, and work to improve test coverage, traceability, and efficiency. Staying Updated Stay up to date with emerging testing technologies and methodologies to continuously improve the testing process. Documentation: Documenting test cases, test plans, and procedures for others to follow. Maintaining and Enhancing Test Automation Framework: Keeping the test automation framework and scripts up to date with changes in the respective application and new testing methods. Your skills and experience Strong proficiency in Java and experience with automation frameworks like Serenity BDD Cucumber, Gatling etc. Hands-on experience with version control systems (e.g., Git), CI/CD tools (e.g. Jenkins), and build tools (e.g. Gradle). Experience in testing RESTful APIs and web services. Experience in using messaging queues like MQ, streaming platforms like Kafka. Familiarity with database testing, including SQL queries and data validation in RDBMS, Big Data. Knowledge of BDD/TDD methodologies and tools like Cucumber or JBehave. Experience working in Agile/Scrum environments. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced, team-oriented environment. Ability to lead test strategy development, mentors junior team members, and drives continuous improvement in testing processes. Ability to identify, diagnose, and resolve issues that arise during testing. How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

: Job Title - Data Platform Engineer - Tech Lead Location - Pune, India Role Description DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centers. We have a strong focus on promoting technical excellence our engineers work at the forefront of financial services innovation using cutting-edge technologies. DB Pune location plays a prominent role in our global network of tech centers, it is well recognized for its engineering culture and strong drive to innovate. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create best solutions for the financial markets. CB Data Services and Data Platform We are seeking an experienced Software Engineer with strong leadership skills to join our dynamic tech team. In this role, you will lead a group of engineers working on cutting-edge technologies in Hadoop, Big Data, GCP, Terraform, Big Query, Data Proc and data management. You will be responsible for overseeing the development of robust data pipelines, ensuring data quality, and implementing efficient data management solutions. Your leadership will be critical in driving innovation, ensuring high standards in data infrastructure, and mentoring team members. Your responsibilities will include working closely with data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. Join us in building and scaling our tech solutions including hybrid data platform to unlock new insights and drive business growth. If you are passionate about data engineering, we want to hear from you! Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel.You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Technical Leadership: Lead a cross-functional team of engineers in the design, development, and implementation of on prem and cloud-based data solutions. Provide hands-on technical guidance and mentorship to team members, fostering a culture of continuous learning and improvement. Collaborate with product management and stakeholders to define technical requirements and establish delivery priorities. . Architectural and Design Capabilities: Architect and implement scalable, efficient, and reliable data management solutions to support complex data workflows and analytics. Evaluate and recommend tools, technologies, and best practices to enhance the data platform. Drive the adoption of microservices, containerization, and serverless architectures within the team. Quality Assurance: Establish and enforce best practices in coding, testing, and deployment to maintain high-quality code standards. Oversee code reviews and provide constructive feedback to promote code quality and team growth. Your skills and experience Technical Skills: Bachelor's or Masters degree in Computer Science, Engineering, or related field. 7+ years of experience in software engineering, with a focus on Big Data and GCP technologies such as Hadoop, PySpark, Terraform, BigQuery, DataProc and data management. Proven experience in leading software engineering teams, with a focus on mentorship, guidance, and team growth. Strong expertise in designing and implementing data pipelines, including ETL processes and real-time data processing. Hands-on experience with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, and Spark. Hands on experience with cloud platform particularly Google Cloud Platform (GCP), and its data management services (e.g., Terraform, BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Storage). Solid understanding of data quality management and best practices for ensuring data integrity. Familiarity with containerization and orchestration tools such as Docker and Kubernetes is a plus. Excellent problem-solving skills and the ability to troubleshoot complex systems. Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders Leadership Abilities: Proven experience in leading technical teams, with a track record of delivering complex projects on time and within scope. Ability to inspire and motivate team members, promoting a collaborative and innovative work environment. Strong problem-solving skills and the ability to make data-driven decisions under pressure. Excellent communication and collaboration skills. Proactive mindset, attention to details, and constant desire to improve and innovate. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleData Engineer (ETL, Big Data, Hadoop, Spark, GCP), AS Location:Pune, India Role Description Engineer is responsible for developing and delivering elements of engineering solutions to accomplish business goals. Awareness is expected of the important engineering principles of the bank. Root cause analysis skills develop through addressing enhancements and fixes 2 products build reliability and resiliency into solutions through early testing peer reviews and automating the delivery life cycle. Successful candidate should be able to work independently on medium to large sized projects with strict deadlines. Successful candidates should be able to work in a cross application mixed technical environment and must demonstrate solid hands-on development track record while working on an agile methodology. The role demands working alongside a geographically dispersed team. The position is required as a part of the buildout of Compliance tech internal development team in India. The overall team will primarily deliver improvements in compliance tech capabilities that are major components of the regular regulatory portfolio addressing various regulatory common commitments to mandate monitors. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Analyzing data sets and designing and coding stable and scalable data ingestion workflows also integrating into existing workflows Working with team members and stakeholders to clarify requirements and provide the appropriate ETL solution. Hands-on experience for various data sourcing in Hadoop also GCP. Ensuring new code is tested both at unit level and system level design develop and peer review new code and functionality. Operate as a team member of an agile scrum team. Root cause analysis skills to identify bugs and issues for failures. Support Prod support and release management teams in their tasks. Your skills and experience: More than 7+ years of coding experience in experience and reputed organizations Hands on experience in Bitbucket and CI/CD pipelines Proficient in Hadoop, Python, Spark, SQL Unix and Hive Basic understanding of on Prem and GCP data security Hands on development experience on large ETL/ big data systems .GCP being a big plus Hands on experience on cloud build, artifact registry ,cloud DNS ,cloud load balancing etc. Hands on experience on Data flow, Cloud composer, Cloud storage ,Data proc etc. Basic understanding of data quality dimensions like Consistency, Completeness, Accuracy, Lineage etc. Hands on business and systems knowledge gained in a regulatory delivery environment. Banking experience regulatory and cross product knowledge. Passionate about test driven development. How well support you . . .

: Job TitleSenior Engineer, VP LocationPune, India Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the endto-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel.You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support." What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The candidate is expected to Hands-on engineering lead involved in analysis, design, design/code reviews, coding and release activities Champion engineering best practices and guide/mentor team to achieve high performance. Work closely with Business stakeholders, Tribe lead, Product Owner, Lead Architect to successfully deliver the business outcomes. Acquire functional knowledge of the business capability being digitized/re-engineered. Demonstrate ownership, inspire others, innovative thinking, growth mindset and collaborate for success. Your skills and experience Minimum 15 years of IT industry experience in Full stack development Expert in Java, Spring Boot, NodeJS, ReactJS, Strong experience in Big data processing Apache Spark, Hadoop, Bigquery, DataProc, Dataflow etc Strong experience in Kubernetes, OpenShift container platform Experience in Data streaming i.e. Kafka, Pub-sub etc Experience of working on public cloud GCP preferred, AWS or Azure Knowledge of various distributed/multi-tiered architecture styles Micro-services, Data mesh, Integrationpatterns etc Experience on modern software product delivery practices, processes and tooling and BIzDevOps skills such asCI/CD pipelines using Jenkins, Git Actions etc Experience on leading teams and mentoring developers Key Skill: Java Spring Boot NodeJS SQL/PLSQL ReactJS Advantageous: Having prior experience in Banking/Finance domain Having worked on hybrid cloud solutions preferably using GCP Having worked on product development How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleStrategic Data Archive Onboarding Engineer, AS LocationPune, India Role Description Strategic Data Archive is an internal service which enables application to implement records management for regulatory requirements, application decommissioning, and application optimization. You will work closely with other teams providing hands on support onboarding by helping them define record content and metadata, configuring archiving, supporting testing and creating defensible documentation that archiving was complete. You will need to both support and manage the expectations of demanding internal clients. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Provide responsive customer service helping internal clients understand and efficiently manage their records management risks Explain our archiving services (both the business value and technical implementation) and respond promptly to inquiries Support the documentation and approval of requirements including record content and metadata Identify and facilitate implementing an efficient solution to meet the requirements Manage expectations and provide regular updates- frequently to senior stakeholders Configure archiving in test environments- will not be coding new functionality but will be making configuration changes maintained in a code repository and deployed with standard tools Support testing ensuring clients have appropriately managed implementation risks Help issue resolution including data issues, environment challenges, and code bugs Promote configurations from test environments to production Work with Production Support to ensure archiving is completed and evidenced Contribute towards a culture of learning and continuous improvement Will partner with teams in multiple location Your skills and experience Delivers against tight deadlines in a fast paced environment Manages others expectations and meets commitments High degree of accuracy and attention to detail Ability to communicate (written and verbal) concisely both business concepts and technical details and to influence partners including senior mangers High analytical capabilities and able to quickly grasp new contexts we support multiple areas of the Bank Expresses opinions while supporting group decisions Ensures deliverables are clearly documented and holds self and others accountable for meeting those deliverables Ability to identify risks at an early stage and implement mitigating strategies Flexibility and willingness to work autonomously and collaboratively Ability to work in virtual teams, agile environment and in matrixed organizations Treats everyone with respect and embraces diversity Bachelors Degree from an accredited college or university desirable Minimum 4 years experience implementing IT solutions in a global financial institution Comfortable with technology (e.g., SQL, FTP, XML, JSON) and a desire and ability to learn new skills as required (e.g., Fabric, Kubernetes, Kafka, Avro, Ansible) Must be an expert in SQL and have Python programming experience. Financial markets and Google Cloud Platform knowledge a plus while curiosity a requirement How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

As a Mid Databricks Engineer, you will play a pivotal role in designing, implementing, and optimizing data processing pipelines and analytics solutions on the Databricks platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable solutions, and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in Databricks, strong programming skills, and a passion for solving complex engineering challenges. What you'll do : - Design and develop data processing pipelines and analytics solutions using Databricks. - Architect scalable and efficient data models and storage solutions on the Databricks platform. - Collaborate with architects and other teams to migrate current solution to use Databricks. - Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. - Use best practices for data governance, security, and compliance on the Databricks platform. - Mentor junior engineers and provide technical guidance. - Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. You'll be expected to have : - Bachelor's or master's degree in computer science, Engineering, or a related field. - 5 to 8 years of overall experience and 2+ years of experience designing and implementing data solutions on the Databricks platform. - Proficiency in programming languages such as Python, Scala, or SQL. - Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. - Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. - Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. - Good to have experience with containerization technologies such as Docker and Kubernetes. - Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.

Senior BW Hana Developer Req number: R5697 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Senior BW/HANA developer with Amazon Web Services experience and demonstrated experience in hybrid environment to deploy both BI and advanced analytical solutions. This role participates in the conceptualization, design, development and delivery of BW/HANA and Native HANA solutions in Cloud and On-Premises in conjunction with senior solution architects. This is a Full-time and Remote position. Job Description What You’ll Do Review and/or extract requirements from business users. Identify business process gaps in the system through formal and informal communications. Be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know, and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. Drive data democratization throughout the organization, enabling others to self-serve their data needs. Document solutions in the form of a Functional Design Document (FDD) including a technical specification, data lineage documentation, and gain agreement and sign-off from all business sponsors. Perform configuration changes for SAP BW, BODS and HANA systems on-premises and cloud. Lead SAP BW AWS Cloud Migration resource needed to manage cloud specific activities (BW to AWS). Responsible for platform planning for the warehouse platform which includes defining standards, implementing best industrial practices & trends for on-premises and cloud. Work with SAP analytics developers / programmers, including our third-party partners, to ensure that the requirements are understood, and an efficient, well-designed solution is developed. Create test scenarios, perform systems testing and integration testing to ensure quality, functionality, and performance. Plan, coordinate, and communicate the deployment of changes to the production system. Possess complete knowledge of the Change Control System and TEIS Methodology. Create/update end user documentation and training documentation. Provide training on analytics solutions as required. Work with the supervisor and the project managers on resource planning and provide a sound recommendation on resource ramp up and ramp down based on the project need. Serve as a Project Leader when required, providing coordination of resources, developing project plans, and ensuring the accuracy and timeliness of work performed by the project team. Explore new capabilities available in the market and make recommendations. Provide consulting to the support team when needed. What You'll Need 8+ years of SAP BW and 5 years of HANA, BW4/HANA and AWS hands-on work experience. 5+ years of experience with BW/HANA Modeling concepts, scripting, optimization scenarios including hybrid scenarios, and performance tuning using HANA Studio and Wed IDE. 5+ Years of experience in supporting large data warehouse System using LSA++ Architecture to extract data from multiple sources like SAP, Oracle, SQL Server, Hadoop and Cloud services. 2+ years of experience with deploying hybrid systems with on-premises and AWS components, AWS Cloud Formation, AWS RDS and NoSQL and Graph Databases. 2+ years of experience with continuous integration and deployment (CI/CID) tools like Jenkins, GIT, Nexus, etc. Functional knowledge around SAP Sales, Procurement, Finance, Quality, and Inventory modules. BW Modelling Skills for building BW DSOs (Standard and Advanced DSOs) , ETL Loads, Process Chain, Performance Tuning. HANA Modelling – Build HANA Model, Function Modules, Scripts. ABAP Skills – Hands on ABAP Skills for BW Transformation, BW Function Modules etc. Experience with Data mapping, OSS Research, write functional and technical specifications. Experience with Batch job monitoring and defining best practices. Ability to collaborate with management, users, contract resources, vendors, and other IT teams. Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making. Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines. Willing to flex daily work schedule to allow for time-zone differences for global team communications. Ability to travel both within and outside of the country for specific projects, as needed Prior working experience with Oracle, Data Warehouse and Bigdata processes & technology is a plus. Exposure/experience on S/4 Hana is a plus. Strong interpersonal and communication skills. Degree in Management Information Systems, Computer Science OR equivalent work experience in an IT organization. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Role Senior Databricks Engineer As a Mid Databricks Engineer, you will play a pivotal role in designing, implementing, and optimizing data processing pipelines and analytics solutions on the Databricks platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable solutions, and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in Databricks, strong programming skills, and a passion for solving complex engineering challenges. What you'll do : - Design and develop data processing pipelines and analytics solutions using Databricks. - Architect scalable and efficient data models and storage solutions on the Databricks platform. - Collaborate with architects and other teams to migrate current solution to use Databricks. - Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. - Use best practices for data governance, security, and compliance on the Databricks platform. - Mentor junior engineers and provide technical guidance. - Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. You'll be expected to have : - Bachelor's or master's degree in computer science, Engineering, or a related field. - 5 to 8 years of overall experience and 2+ years of experience designing and implementing data solutions on the Databricks platform. - Proficiency in programming languages such as Python, Scala, or SQL. - Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. - Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. - Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. - Good to have experience with containerization technologies such as Docker and Kubernetes. - Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.

As Architect at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Architect, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong understanding data lake approaches, industry standards and industry best practices. Detail level understanding of HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift). Applies individual experiences / competency and IBM architecting structure thinking model to analyzing client IT systems. Experience with relational SQL, Big Data etc Experienced with Cloud native platforms such as AWS, Azure, Google, IBM Cloud or Cloud Native data platforms like Snowflake Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Unix shell scripting and python

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for: Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

Role Overview: Seeking an experienced Apache Airflow specialist to design and manage data orchestration pipelines for batch/streaming workflows in a Cloudera environment. Key Responsibilities: * Design, schedule, and monitor DAGs for ETL/ELT pipelines * Integrate Airflow with Cloudera services and external APIs * Implement retries, alerts, logging, and failure recovery * Collaborate with data engineers and DevOps teams Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required: * Experience3-8 years * Expertise in Airflow 2.x, Python, Bash * Knowledge of CI/CD for Airflow DAGs * Proven experience with Cloudera CDP, Spark/Hive-based data pipelines * Integration with Kafka, REST APIs, databases

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 3-5+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc). Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modelling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python

The Data Scientist with Gen AI role is designed for a highly analytical and technically skilled individual who excels in data-driven environments. The candidate should possess a strong background in Python programming, database management, and data science methodologies. This role primarily focuses on leveraging data to drive insights and decision-making. The core responsibilities of the role include a range of data science tasks, such as collecting and cleansing data, exploring, and visualizing insights, and applying statistical and mathematical analysis techniques. It involves developing and implementing machine learning and deep learning models, managing big data infrastructure, and executing data engineering tasks. Additionally, the role requires maintaining codebase integrity through version control and designing, creating, and supporting AI-driven products to deliver impactful AI solutions. Responsibilities include: Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets (structured and unstructured) for effective decision-making. Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation. Applying statistical and mathematical techniques to analyze data, providing robust analytical foundations for predictive modeling and inference. Developing and implementing machine learning and deep learning models Adaptation of foundation models/LLMs to address specific business challenges. Expertise in ML-Ops / AI-Ops Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment. Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum four years of experience in IT industry using data science and generative AI skills High proficiency in Python programming, NLP techniques and experience using AI Framework (e.g. Hugging Face) Knowledge of SQL and NoSQL database management. Strong background in data science, statistics, mathematics, and analytical techniques. Expertise in machine learning and deep learning methodologies Working knowledge and application of foundation models in addition to Fine tuning of LLMs. Familiarity with big data technologies and data engineering practices. Experience with version control systems, particularly Git, and proficiency with GitHub for code collaboration and repository management. Are able to report and present results to a non-technical audience. This role is ideal for a candidate who is not only technically proficient in data science and generative AI but also skilled in integrating their analytical work with web technologies, cloud computing, and automation. The ability to communicate effectively, manage projects efficiently, and consider the ethical implications of data usage is crucial for success in this role. Preferred technical and professional experience Hands-on experience in data science for four plus years with minimum of 3 years of experience in deep learning Web development skills, including JavaScript and React, for creating sophisticated, interactive data-driven interfaces. Experience with cloud computing platforms (AWS/Azure/Google/IBM) to leverage advanced cloud-based services and infrastructure. Excellent communication skills, crucial for effective teamwork, stakeholder engagement, and clear presentation of data insights and technical concepts. Project management experience with a focus on agile methodologies, ensuring efficient, adaptive, and collaborative project execution. Awareness and understanding of ethical considerations in data science and AI, ensuring responsible and fair use of data and AI technologies.

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the client’s needs. Your primary responsibilities include* Design, build, optimize and support new and existing data models and ETL processes based on our client’s business requirements Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio. Data Modelling and Analysis. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes. Analyse and model data to ensure optimal ETL design and performance. Ab Initio Components, Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration. Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes. Participate in design reviews and provide technical expertise to enhance overall solution quality. Documentation