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Data Engineer II - JPMorganChase
Data Engineer
Data Engineer II building secure, scalable data pipelines using Python, SQL, Spark, and AWS to support analytics across the Corporate & Investment Bank. Focus on design, development, and troubleshooting of data collection, storage, and access solutions.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python, SQL, and Apache Spark on AWS infrastructure.
- Implement data modeling and warehousing solutions to support enterprise analytics and reporting.
- Collaborate with cross‑functional teams to define data requirements, optimize performance, and ensure data quality.
- Troubleshoot and resolve complex data issues, providing technical guidance to junior engineers.
- Document architecture, processes, and best practices for data engineering workflows.
Requirements
- 3+ years of experience in data engineering or related field.
- Strong proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS services (EMR, Redshift, S3, Glue).
- Solid understanding of data modeling, ETL design, and data warehousing concepts.
- Excellent problem‑solving skills and ability to work in an agile environment.
Skills
pythonsqlapache sparkaws