• Primary

skills:
Technology->ETL & Data Quality->IBM Infosphere Datastage
• Lead end-to-end ETL development using IBM InfoSphere DataStage, from requirements gathering to production deployment.
• Design, develop, and maintain DataStage jobs, sequences, and reusable components aligned to business and technical needs.
• Drive data integration across multiple sources/targets, ensuring correctness, completeness, and consistency of delivered datasets.
• Perform performance tuning and optimization of ETL jobs, including parallelism, partitioning, and resource utilization improvements.
• Establish and enforce ETL standards, coding practices, naming conventions, and documentation for maintainability.
• Troubleshoot production issues, perform root-cause analysis, and implement preventive fixes to improve stability.
• Collaborate with cross-functional teams to plan releases, manage dependencies, and ensure smooth handoffs across environments.
• Provide technical guidance and mentorship to developers, including reviews of job design, error handling, and performance patterns.
• Bachelor’s or Master’s degree (or equivalent) in Engineering, Computer Science, or related discipline (BTech/BE/MTech/MCA/MSc or equivalent).




• 5–9 years of experience in ETL development with strong hands-on expertise in IBM InfoSphere DataStage.
• Solid understanding of ETL concepts including data extraction, transformation, loading, and orchestration.
• Experience delivering production-grade data pipelines with strong focus on reliability, monitoring, and support readiness.
• Ability to translate functional requirements into technical ETL designs and communicate effectively with stakeholders. Preferred

Qualifications:
• Experience leading ETL workstreams, owning technical delivery, and coordinating across teams for successful releases.
• Strong expertise in ETL design patterns including incremental loads, CDC-style approaches, restartability, and robust error handling.
• Hands-on experience with IBM InfoSphere ecosystem and best practices for enterprise data integration.
• Proven ability to improve ETL performance through tuning, workload optimization, and scalable job design.
• Experience creating explicit technical documentation, runbooks, and operational procedures for production support teams. Good to have

skills:
SQL, Data Warehousing, Unix/Linux Shell Scripting, Control-M, Git

📌 DataStage (Bengaluru)
🏢 Infosys
📍 Bengaluru