Databricks Data Engineer

About this kind of role

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

Typically does: Data Engineers design, build, and maintain data pipelines and infrastructure to support data analysis and machine learning initiatives. They transform raw data into usable formats, ensuring data quality and reliability. This often involves working with large datasets and distributed computing environments. They collaborate with data scientists, analysts, and other engineers to deliver data-driven solutions.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with data warehousing concepts, ETL processes, and big data technologies like Spark and Delta Lake are generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.