Data Engineering Lead- 10+ yrs- Los Angeles, California- Onsite
Why This Role Stands Out
This is an exciting opportunity to lead impactful data engineering initiatives within the Life Sciences or Finance sector, leveraging cutting-edge tools like Databricks and GitHub Copilot to drive innovation. You'll thrive here if you have extensive experience in building robust ETL/ELT pipelines and enjoy collaborating closely with business leaders to deliver scalable data solutions. Apply now to join a dynamic team and shape the future of data-driven growth!
Quick Overview
Job Description
Job Description :
Onsite Collaboration Work on-site in Santa Monica 3 days/week to drive face-to-face teamwork and project governance. Core Tech Stack Design and scale production-grade ETL/ELT pipelines using AWS Glue, Databricks, and PySpark. AI-Driven Efficiency Proficient in using GitHub Copilot to accelerate code development, automate boilerplate PySpark/SQL scripts, and improve code quality and testing. Domain Expertise Apply deep experience in Life Sciences/Pharma or Finance to meet strict industry compliance and data standards. Stakeholder Management Partner directly with business leaders to translate complex domain needs into scalable data solutions. Business Growth & Funding Build strong relationships with key stakeholders to demonstrate business value, retain funding, and secure new projects. Experience Level 9+ years of hands-on data engineering experience driving high-impact initiatives
Skills
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