Lead Data Engineer
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The role
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.
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