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2 days ago
We are seeking an experienced ETL data pipeline specialist to join our data engineering team.
About the RoleThe successful candidate will be responsible for designing, developing, and maintaining scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data) and AWS Glue/Lambda for ingestion from varied sources.
Key Responsibilities- Design and develop ETL pipelines 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.
- Work closely 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.
- 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.
- Experience with Collibra, BigID, or other metadata/governance tools.
- Exposure to Data Mesh/Data Domain models.
- AWS or Snowflake certification is a plus.
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