Data Engineer

Design, build, and maintain scalable data pipelines to support real-time, batch, and streaming data processing using tools such as Python, Java, Spark, and Kafka.

Develop and optimize ETL/ELT workflows for ingesting, transforming, and integrating large datasets from multiple internal and external sources.

Create and maintain data models (logical and physical) to support analytics, reporting, and application development.

Implement robust data quality processes including validation rules, anomaly detection, monitoring, and automated data checks.

Ensure data compliance and governance by adhering to JPMorgan Chase standards for security, data privacy, metadata management, data lineage, and audit requirements.