remote
Data Engineering Manager - Map
Engineering Manager
Lead a high‑performing data engineering team, designing and deploying scalable data pipelines on AWS, leveraging Python, SQL, and Spark to deliver actionable insights for global brands.
About the role
Key Responsibilities
- Architect, build, and maintain end‑to‑end data pipelines on AWS, ensuring high availability, scalability, and performance.
- Lead a team of data engineers, providing mentorship, code reviews, and career development.
- Collaborate with data scientists, product managers, and stakeholders to translate business requirements into robust data solutions.
- Implement best practices for data quality, governance, and security across all data assets.
- Drive continuous improvement of data infrastructure, tooling, and processes.
Requirements
- 5+ years of experience in data engineering, with 2+ years in a leadership role.
- Proficiency in Python, SQL, and Apache Spark for large‑scale data processing.
- Hands‑on experience with AWS services (Redshift, S3, Glue, EMR, Lambda).
- Strong understanding of data modeling, ETL design, and data warehousing concepts.
- Excellent communication skills and a proven ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlawsapache spark