Azure Databricks Data Engineer

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About this kind of role

What a Azure Databricks Data Engineer usually does. The employer's own details are in the listing.

Typically does: A Data Engineer specializing in Azure Databricks designs, builds, and maintains data pipelines for data processing, analytics, and machine learning. They work with large datasets, transforming raw data into usable formats and ensuring data quality and reliability. This role often involves collaborating with data scientists, analysts, and other engineers to deliver data-driven solutions. Responsibilities include optimizing performance and troubleshooting data-related issues.

Tools and skills: Proficiency in Spark, Python, SQL, Azure Data Factory, Delta Lake, and related cloud technologies is generally required, alongside experience with data warehousing concepts and ETL processes.

Good fit for: Individuals with a strong analytical mindset, a passion for data, and the ability to work both independently and as part of a team typically thrive in this role.