Sr DataStage Engineer

REQUIRED QUALIFICATIONS:

• 6+ years of hands-on experience with IBM DataStage development.
  


• Proven experience building end-to-end ETL workflows, including extraction, transformation, and load processes.
  


• Strong expertise in SQL, including complex joins, subqueries, window functions, and performance tuning.
  


• Solid knowledge of UNIX/Linux fundamentals, including file systems, permissions, and process management.
  


• Hands-on experience with shell scripting (bash/ksh) for job automation and operational support.
  


• Experience working with DataStage job metadata and XML transition logic.
  


• Ability to analyse and translate legacy ETL logic into modern data platforms such as Snowflake, AWS-native services, or data governance tools like Collibra.
  


• Familiarity with AI-assisted development or automation tools used to understand, parse, or accelerate ETL modernization efforts.
  


• Strong understanding of data warehousing concepts, ETL best practices, and data quality frameworks.
  


• Excellent analytical, problem-solving, and communication skills.
  

PREFERRED QUALIFICATIONS:

• Experience with Collibra or other enterprise metadata and data governance platforms.
  


• Familiarity with AI-assisted development tools that support code analysis, metadata interpretation, or ETL modernization.
  


• Experience supporting enterprise cloud migration or large-scale modernization programs.
  


• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
  


• Experience working within financial services or other highly regulated industries.