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2 days ago
Job Title: ETL Lead with IBM DataStage
About the RoleWe are seeking a motivated and talented ETL developer to join our data engineering team. As an ETL lead, you will work on building scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.
Key Responsibilities:- Design, develop, and maintain ETL pipelines using IBM DataStage and AWS Glue/Lambda for ingestion from varied sources.
- Build and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
- Collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets.
- Participate in code reviews, performance tuning, and defect triage sessions.
- Work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
- 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage.
- Hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda for event-based processing.
- Experience working with Snowflake: loading strategies, stream-task, zero-copy cloning, and performance tuning.
- Proficiency in SQL, Unix scripting, and basic Python for data handling or automation.
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