
Senior Data Pipeline Developer
4 days ago
We are seeking a skilled Data Engineer to join our team.
- The successful candidate will be responsible for designing and developing scalable data pipelines using IBM DataStage and AWS Glue.
- They will work closely with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets.
Key Responsibilities
- Design, develop, and maintain ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda.
- Build and optimize data flows for loading curated datasets into Snowflake.
- Collaborate with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
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.
Achieving Success
- Strong understanding of data lake/data warehouse architectures.
- Familiarity with S3, version control systems (Git), and job orchestration tools.
We offer competitive compensation and opportunities for growth and development.
About this Role
This is an exciting opportunity for a talented Data Engineer to join our dynamic team.
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