
Senior Data Engineer
6 days ago
We're looking for a seasoned data engineer to design, develop, and maintain efficient ETL pipelines using IBM DataStage and AWS Glue. The ideal candidate will have expertise in building scalable data flows, collaborating with cross-functional teams, and ensuring timely delivery of critical data assets.
Key Responsibilities:
- Design and develop ETL pipelines leveraging IBM DataStage and AWS Glue for ingestion from varied sources.
- Bld and optimize data flows for loading curated datasets into Snowflake, applying best practices for schema design, partitioning, and transformation logic.
- Participate in code reviews, performance tuning, and defect triage sessions.
- Collaborate 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.
To succeed in this role, you'll need the following skills and experience:
- 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage.
- 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.
- Experience with data profiling, cleansing, and quality validation routines.
- Understanding of data lake/data warehouse architectures and DevOps practices.
In addition to a competitive salary, you'll enjoy:
- A dynamic work environment that encourages collaboration and innovation.
- Ongoing training and professional development opportunities.
- A comprehensive benefits package that includes health insurance, retirement savings, and paid time off.
We're committed to providing a supportive and inclusive workplace that allows our employees to grow and thrive. If you're passionate about data engineering and want to join a team that's shaping the future of technology, we encourage you to apply.
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