Description
The employer is seeking a Python and PySpark developer and data engineer to design, build, test, and deploy data and integration solutions for a Fortune 500 client’s financial master and reference data management program. The role involves Spark-based applications, ingestion and export pipelines, data APIs, real-time integrations, AWS Glue and Lambda, MDM/RDM platforms, testing frameworks, Agile development, and production deployment. Candidates need a computer science, statistics, or econometrics degree and at least four years of PySpark application experience, along with Python, database, SQL, API, and data engineering expertise.
