
Senior Data Engineer
4 days ago
Data Pipeline Architect
Design, develop and maintain scalable data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.
- Create efficient ETL processes to ingest data from varied sources like flat files, APIs, Oracle, DB2, etc.
- Bulk load curated datasets into Snowflake leveraging best practices for schema design, partitioning, and transformation logic.
- Collaborate with cross-functional teams on code reviews, performance tuning, and defect triage sessions.
- Prioritize data governance by ensuring lineage, privacy tagging, and quality controls within pipelines.
- Implement CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations.
- Troubleshoot issues in QA/UAT/Production environments as needed.
Requirements:
- 4+ years of experience in data pipeline architecture with at least 1–2 years in IBM DataStage (preferably CP4D version).
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