Senior Azure Data Engineer with Databricks

About this kind of role

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

Typically does: A Senior Azure Data Engineer with Databricks designs, builds, and maintains data pipelines and infrastructure within the Microsoft Azure cloud environment, frequently utilizing Databricks for data processing and analytics. This role involves extracting, transforming, and loading (ETL) data from various sources, ensuring data quality, and optimizing data storage and retrieval. Responsibilities often include collaborating with data scientists, analysts, and other engineers to deliver data-driven solutions and supporting the overall data strategy. They may also be involved in automating data processes and implementing data governance policies.

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

Good fit for: Individuals with a strong background in data engineering, cloud computing, and a passion for building scalable and reliable data solutions typically thrive in this role.