Role & responsibilities

•Good understanding of ETL concepts, data warehousing fundamentals and data integration best practices.

•In-depth knowledge of DataStage stages and concepts: Transformer, Join, Lookup, Merge, Aggregator, Sort, Remove Duplicates, Copy, Funnel, Filter, partitioning and collecting methods, and Runtime Column Propagation.

•Experience building and managing job sequences, including error handling, restorability and parameterization.

•Positive knowledge of Unix.

•Strong SQL skills.

•Hands-on experience working with flat files (CSV, delimited, fixed width), data sets and schema files.

•Ability to debug and troubleshoot job failures by analyzing logs and finding the root cause.

Preferred candidate profile

Strong proficiency in IBM DataStage, with both solid theoretical knowledge and good hands-on experience in designing, developing and maintaining parallel jobs.

Good to have

•Experience with job schedulers such as Control-M.

•Exposure to CI/CD and code promotion across environments (DEV, UAT)

📌 IBM Datastage Developer (Bengaluru)
🏢 CGI
📍 Bengaluru