Data Engineer III - Python, Databricks - Senior Associate
On-site · London, England, United Kingdom
Job Summary
Develop workflows and ELT pipelines using Python and Databricks. Support review of controls to ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases. This Data Engineer III role at JPMorgan Chase in London focuses on building scalable, secure data pipelines and architectures, leveraging Python, Databricks, and AWS, with emphasis on data lifecycle management, analytics, and mature CI/CD practices.
Required Qualifications
- Formal training or certification on software engineering concepts and 3 years applied experience
- Good working knowledge of AWS, Databricks, and Python
- Experience across the data lifecycle
- Advanced at SQL, including joins and aggregations
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis
- Utilize AWS Cloud Services for developing, deploying, and managing applications at scale
- Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing
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