Job Profile :

- Strong hands-on experience with IBM DataStage (Server jobs mandatory, Parallel jobs preferred)

- Ability to analyze and reverse-engineer DataStage jobs (stage count, logic, dependencies)

- Expertise in job sequences, job control logic, and reusable routines

- Proficiency in ETL development (transformations, joins, lookups, performance tuning)

- Strong SQL skills (Teradata, Oracle, MS SQL Server)

- Experience in lineage discovery, dependency mapping, and job complexity classification

- Ability to document ETL workflows, transformations, and job logic

- Experience in data validation, reconciliation, and like-for-like reconciliation against the legacy systems testing

- Hands-on experience with Unix/Shell scripting and file-based processing

- Ability to rewrite/customize routines and scripts for migration/modernization

- Experience collaborating with Databricks/Spark teams during migration and validation

- Understanding of data quality, logging, and error handling best practices

- Exposure to migration/modernization projects (DataStage to cloud/Spark)

- Basic knowledge of Spark/PySpark or modern data platforms

- Familiarity with automation/GenAI tools for code conversion or metadata generation

- Strong Analytical, Problem-Solving & Communication Skills

Candidate's Profile :

- BE/BTECH, MCA/BCA with Min 5+ Years' experience as Datastage Engineer

- Ready for 6 to 12 months contract role in Bangalore, Kolkata, Mumbai, Hyderabad and Pune in Hybrid mode

- Can join within 15 days