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Senior Data Engineer with IBM DataStage Expertise
2 weeks ago
**Job Summary:**
We are seeking an accomplished Data Engineer to lead the design, development, and maintenance of scalable and efficient data pipelines using IBM DataStage, AWS Glue, and Snowflake.
Key Responsibilities:
- Design and develop ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda for ingestion from varied sources.
- Bulk and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
- Participate in code reviews, performance tuning, and defect triage sessions.
- Collaborate with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
- Contribute to CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations.
**Requirements:**
- 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version).
- 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.
