Lead Data Engineer
职位介绍
Design and build scalable, cloud-native data platforms using PySpark, Python, and modern data engineering practices.
Mentor and guide other engineers, sharing knowledge, reviewing code, and fostering a culture of curiosity and growth.
Create robust ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases.
Lead by example—write high-quality, testable code and participate in architecture discussions with a long-term view.
Decompose complex problems into modular, efficient, and scalable components while promoting governance, quality, and performance.
Collaborate with product managers, data scientists, and other engineers to deliver high-impact solutions and ensure platform reliability under Agile.
Mentor and guide other engineers, sharing knowledge, reviewing code, and fostering a culture of curiosity and growth.
Create robust ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases.
Lead by example—write high-quality, testable code and participate in architecture discussions with a long-term view.
Decompose complex problems into modular, efficient, and scalable components while promoting governance, quality, and performance.
Collaborate with product managers, data scientists, and other engineers to deliver high-impact solutions and ensure platform reliability under Agile.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
已有账户? 登录
相似职位
其他可能适合您的职位。
远程办公no
城市Atlanta, 美国