
Senior Data Pipeline Specialist
6 days ago
We are seeking a skilled ETL Developer to join our team in building scalable and efficient data pipelines using IBM DataStage, AWS Glue, and Snowflake.
Key Responsibilities:- Design, develop, and maintain ETL pipelines using IBM DataStage (CP4D) 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.
- 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.
Required Skills and Experience:
- 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.
- Familiarity with S3, version control systems (Git), and job orchestration tools.
Benefits:
This role offers the opportunity to work on complex data engineering projects, collaborate with experienced professionals, and grow your skills in a rapidly evolving field.
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