Requirements
- 8 or more years of experience in enterprise data warehouse ETL development.
- Proficiency in IBM DataStage, Python, and PySpark for complex data integration.
- Experience with Snowflake cloud data platform and AWS Glue managed services.
- Experience in SQL development and advanced database programming for analytics.
- Experience with migrating on-premises data environments to AWS or Azure public clouds.
- Experience in leading technical teams and documenting full SDLC processes.
- Excellent verbal and written communication skills.
- Design and engineer scalable ETL solutions for enterprise-level data warehouse architectures.
- Translate business requirements and data mapping documentation into detailed technical designs.
- Develop and maintain robust code using IBM DataStage and Python on AWS EC2.
- Execute comprehensive unit test plans and support system-wide regression testing efforts.
- Debug and resolve complex technical issues found during testing or production cycles.
- Mentor junior developers on technical standards and data warehousing best practices.
- Define future state roadmaps and lead the technical execution of cloud data initiatives.
Job ID: 516125868
Originally Posted on: 4/4/2026
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