
Senior Data Engineer
2 weeks ago
The ideal candidate will have experience in ETL development, specifically with IBM DataStage.
Responsibilities include designing and developing scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data) and AWS Glue/Lambda for ingestion from varied sources.
You will collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.
- 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.
- Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
Required Skills:
- IBM DataStage (CP4D)
- AWS Glue/Lambda
- ETL Development
- Scalable and Efficient Data Pipelines
- Data Governance
- CI/CD Integration
- Code Reviews
- Performance Tuning
- Defect Triage
Benefits:
As a successful applicant, you will have the opportunity to work with cutting-edge technology and contribute to the delivery of critical data assets. You will also be part of a dynamic team that values collaboration, innovation, and continuous learning.
Others:
If you are passionate about data and technology, and are looking for a challenging role that offers opportunities for growth and development, this is an excellent opportunity to consider.
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