50-60 chars
Overview
Lead development of ETL pipelines using Python and Spark within AWS Kubernetes environments. Own scalable data solutions that drive insights across teams. Collaborate with cross-functional groups to deliver impactful analytics. Drive technical excellence and innovation.
What You'll Do8
- 1Design Build Scale Debug Drive Own Ship
- 2Implement ETL pipelines leveraging Python Spark Airflow
- 3Architect cloud-native solutions on AWS Kubernetes
- 4Optimize data workflows for performance and reliability
- 5Mentor junior engineers and foster technical growth
- 6Collaborate with stakeholders to define project scope
- 7Ensure compliance with data governance standards
- 8Deliver measurable business impact through data-driven solutions
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 2PhD or PsyD in Clinical Psychology
- 3Expertise in AWS services and container orchestration
- 4Strong SQL and programming skills
- 5Proven leadership in collaborative environments
Salary Insight
Salary not disclosed in listing
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