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1 week ago
We are looking for a skilled ETL developer to join our data engineering team.
As an ETL developer, you will be responsible for designing, developing, and maintaining scalable and efficient data pipelines using IBM Datastage (on Cloud Pak for Data) and AWS Glue/Lambda.
- Develop 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.
- 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.
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