Azure Data Engineer – Databricks

About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines and infrastructure using Azure cloud services, with a focus on Databricks. This role involves transforming raw data into usable formats for analysis and reporting, ensuring data quality and reliability. Responsibilities often include optimizing performance, troubleshooting issues, and collaborating with data scientists and analysts. Data Engineers in this area frequently automate data processes and implement data governance policies.

Tools and skills: Proficiency in Azure services (Azure Data Factory, Azure Synapse Analytics, Azure Blob Storage), Databricks (Spark, Delta Lake), Python or Scala, SQL, and data modeling techniques is generally required.

Good fit for: Individuals with a strong analytical mindset, a passion for data, and experience in cloud computing environments typically thrive in this role.