Baxter seeks a Data Engineer to develop and support ETL and data transformation jobs using PySpark and IBM DataStage in AWS. The role involves building new pipelines, enhancing existing systems, performing code reviews, and providing technical support for a global data warehouse.
Responsibilities
Develop new ETL and data transformation jobs using PySpark and IBM DataStage
Enhance and provide technical support for existing ETL and data transformation jobs
Perform code reviews and integration testing before production migrations
Troubleshoot production issues including performance tuning and reject handling
Communicate technical solutions to internal customers and document technical specifications
Requirements
5+ years of ETL and SQL experience
Intermediate PySpark skills with ability to read, debug, and write code
Core Python programming proficiency for data transformation
Strong SQL fundamentals including subqueries and query optimization
3+ years of AWS and UNIX command-line experience
Bachelor's degree in Computer Science or equivalent
IBM DataStage experience preferred; SnowFlake background preferred
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