Data Engineer (Databricks, Azure, Kafka)

About this kind of role

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

Typically does: Data Engineers build and maintain data pipelines that collect, process, and store large datasets. They transform raw data into usable formats for analysis and reporting, ensuring data quality and reliability. This often involves designing and implementing data warehouses or data lakes, and optimizing data infrastructure for performance. They collaborate with data scientists, analysts, and other stakeholders to meet data needs.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with big data technologies such as Databricks, Azure, and Kafka, and knowledge of SQL and data warehousing concepts are generally required.

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