A critical role for a skilled Python and Spark engineer to contribute to JPMorgan Chase's capital reporting technology infrastructure, focusing on building scalable, secure data processing solutions in a fast-paced financial technology environment.
Designing and developing scalable capital reporting solutions using advanced big data technologies, implementing complex data processing workflows, and creating high-performance software systems for financial reporting and analytics.
Requires strong expertise in Python, Apache Spark, distributed computing technologies, with a minimum of 3-5 years professional software engineering experience in big data environments. Candidates should have demonstrable experience with data engineering, programming complex ETL processes, and building robust, performant data pipelines.
JPMorgan Chase offers competitive compensation, comprehensive benefits package, opportunities for professional development, exposure to cutting-edge financial technology platforms, and a dynamic, collaborative work environment with challenging technical projects at a global financial institution.
