Data Engineer - Databricks

About this kind of role

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

Typically does: Data Engineers build and maintain data pipelines that collect, process, and transform data from various sources. They design, develop, and optimize data architectures, ensuring data quality and availability for analysis and reporting. This role often involves working with large datasets and implementing data governance policies. Data Engineers collaborate with data scientists, analysts, and other stakeholders to meet data-related needs.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with big data technologies such as Spark, Hadoop, and cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with SQL and data warehousing concepts are typically required.

Good fit for: Individuals with a strong analytical mindset, a passion for problem-solving, and a desire to work with complex data systems often thrive in this role.