Responsibilities :

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.

Additional Responsibilities:

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 clear technical documentation, runbooks, and operational procedures for production support teams. Good to have skills: SQL, Data Warehousing, Unix/Linux Shell Scripting, Control-M, Git

Technical and Professional Requirements:

Primary skills:Technology- ETL & Data Quality- IBM Infosphere Datastage