
Senior Data Engineer
2 days ago
**ETL Developer – Data Pipelines Specialist**
We are seeking an experienced ETL Developer to lead the development of scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.
The ideal candidate will have a strong background in ETL development, with at least 2 years of experience in IBM DataStage and 1 year of experience in AWS Glue (PySpark or Spark) and AWS Lambda for event-based processing.
**Key Responsibilities:**
- Design, develop, and maintain ETL pipelines using IBM DataStage and AWS Glue/Lambda for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc.
- 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.
**Required Skills and Qualifications:**
- 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.
**Benefits:**
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
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