Job Summary
The primary objective of this position is to design, develop, and maintain scalable data pipelines and enterprise data products utilizing Databricks. This role encompasses all aspects of data management, including ingestion, transformation, integration, quality assurance, and monitoring. The candidate will work in conjunction with various teams, including engineering, architecture, product, and business units, to deliver comprehensive analytics, operational solutions, reporting, and AI-driven initiatives while enhancing production performance and engineering methodologies.
Responsibilities
- Design and develop scalable data pipelines and enterprise data products on the Databricks platform.
- Implement data ingestion, transformation, integration, and quality control processes.
- Monitor and support existing data workflows and tools to ensure optimal functionality.
- Collaborate with cross-functional teams to deliver analytical and operational solutions.
- Enhance engineering practices and contribute to the improvement of production processes.
Qualifications
- Formal education or certification in software engineering concepts is required.
- A minimum of three years of hands-on experience in data engineering, including proficiency with Databricks.
- Experience in distributed data processing and familiarity with data architecture.
- Knowledge of the software development lifecycle (SDLC) and AI-assisted development tools.
- Proven ability to troubleshoot complex issues and collaborate effectively with others.
JPMorgan Chase & Co. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
