Lead Data Engineer (AWS, Azure, GCP)

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About this kind of role

What a Lead Data Engineer (AWS, Azure, GCP) 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, analytics, and machine learning initiatives. This role involves collaborating with data scientists, analysts, and other engineers to ensure data quality, reliability, and accessibility. They often lead a team of data engineers, providing technical guidance and mentorship. Responsibilities include optimizing data processes and evaluating new technologies.

Tools and skills: Proficiency in cloud platforms like AWS, Azure, or GCP, along with experience in data warehousing technologies, ETL tools, programming languages such as Python or Java, and database systems is generally required.

Good fit for: Individuals with strong problem-solving abilities, excellent communication skills, and a passion for building scalable and robust data solutions typically thrive in this role.