Lead Data Engineer (Hands-On)

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About this kind of role

What a Lead Data Engineer (Hands-On) usually does. The employer's own details are in the listing.

Typically does: A Lead Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data warehousing and analytics. This role involves collaborating with data scientists, analysts, and other engineers to ensure data is accessible, reliable, and performant. They often lead a small team, providing technical guidance and mentorship while remaining actively involved in hands-on development. Responsibilities include optimizing data storage solutions and implementing data quality checks.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), ETL tools, data warehousing technologies, and experience with big data frameworks like Spark or Hadoop are typically required.

Good fit for: Individuals with strong problem-solving abilities, a passion for data, and experience leading technical projects thrive in this role.