- Design, develop, test, and deploy ETL solutions using IBM InfoSphere DataStage.
- Analyze business requirements and translate them into technical ETL specifications.
- Develop complex DataStage jobs including parallel and server jobs.
- Perform data extraction, transformation, and loading (ETL) from multiple source systems.
- Optimize DataStage jobs for performance, scalability, and reliability.
- Troubleshoot production issues and provide root cause analysis.
- Develop reusable components and ETL frameworks.
- Work closely with Data Architects, Business Analysts, and Application Teams.
- Support data quality, data validation, and reconciliation activities.
- Participate in code reviews, testing, and deployment activities.

Required Skills





- Strong hands-on experience with IBM InfoSphere DataStage.
- Experience in developing Parallel Jobs, Sequence Jobs, Shared Containers, and Job Sequencers.
- Solid SQL and database skills (Oracle, SQL Server, DB2, Teradata, etc.).
- Good understanding of Data Warehousing and ETL concepts.
- Experience with data migration and integration projects.
- Knowledge of job performance tuning and optimization.
- Experience in Unix/Linux shell scripting.
- Understanding of SDLC, Agile methodologies, and release management.

📌 Data Stage Developer (Hyderabad)
🏢 Capgemini
📍 Hyderabad