onsite
Lead Data Engineer - Ground Control
Data Engineer
Lead the design, build, and maintenance of a modern cloud data platform, driving data quality, scalability, and performance using Python, SQL, AWS, and Spark. Mentor a team of engineers and partner with stakeholders to deliver actionable insights.
About the role
Key Responsibilities
- Architect and implement end‑to‑end data pipelines on AWS, ensuring high availability, scalability, and security.
- Lead a team of data engineers, providing mentorship, code reviews, and fostering a culture of continuous improvement.
- Collaborate with data scientists, product managers, and business stakeholders to translate requirements into robust data solutions.
- Design and maintain data models, schemas, and metadata management for enterprise data lake and warehouse.
- Implement best practices for data quality, monitoring, and automated testing across the pipeline.
Requirements
- 5+ years of experience in data engineering with a strong background in Python, SQL, and AWS services (Glue, Redshift, S3, EMR).
- Proven expertise in building large‑scale ETL pipelines using Spark or similar big‑data frameworks.
- Hands‑on experience with data modeling, lakehouse architecture, and performance tuning.
- Excellent communication skills and a track record of leading technical teams.
- Strong problem‑solving mindset and ability to thrive in a fast‑moving environment.