remote
Senior Lead Data Engineer - JPMorganChase
Data Engineer
Lead the design, implementation, and optimization of enterprise‑scale data pipelines and analytics solutions using Python, SQL, Airflow, Spark, and AWS, driving reliability, performance, and actionable insights for a global financial institution.
About the role
Key Responsibilities
- Architect, build, and maintain robust data pipelines and reporting workflows that ingest, transform, and deliver high‑quality data to stakeholders.
- Define and enforce SLIs/SLOs, monitor pipeline health, and implement automated error handling and alerting to ensure reliability.
- Collaborate with data scientists, product owners, and platform teams to translate business requirements into scalable data solutions.
- Lead performance tuning, cost optimization, and scalability initiatives across AWS services and on‑prem clusters.
- Mentor and coach junior engineers, fostering best practices in coding, testing, and documentation.
Requirements
- 5+ years of experience in data engineering with a strong focus on pipeline development and automation.
- Hands‑on experience with AWS services (S3, Redshift, EMR, Glue, Lambda) and data modeling best practices.
- Strong analytical skills, ability to translate complex business problems into technical solutions.
- Excellent communication and leadership skills, with a track record of mentoring and driving cross‑functional collaboration.
Skills
pythonsqlapache sparkaws