onsite
Lead Data Platform & Analytics Engineer - U.S. Bank
Data Engineer
Lead the design and implementation of a scalable Money Movement Data Platform, driving advanced analytics and machine learning solutions on AWS to empower smarter financial decisions.
About the role
Key Responsibilities
- Architect and maintain a high‑throughput data platform for money movement data using AWS services (S3, Redshift, Glue, Athena).
- Develop and optimize ETL pipelines in Python and Spark to ingest, transform, and enrich large datasets.
- Collaborate with data scientists to build and deploy machine‑learning models that predict transaction patterns and detect anomalies.
- Ensure data quality, governance, and security compliance across the platform.
- Mentor a team of data engineers, fostering best practices in coding, testing, and documentation.
Requirements
- 10+ years of experience in data engineering and analytics, with 5+ in a leadership role.
- Proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS data services (S3, Redshift, Glue, Athena, Lambda).
- Strong background in machine‑learning model deployment and monitoring.
- Excellent communication skills and a track record of driving cross‑functional collaboration.
Skills
pythonsqlawsmachine learning