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, transform, and load data from various sources into data warehouses or data lakes. They design and implement robust, scalable data architectures to support business intelligence and analytics initiatives. This often involves working with large datasets and ensuring data quality and reliability. Data Engineers also monitor and troubleshoot data pipelines, optimizing performance and addressing data-related issues.

Tools and skills: Proficiency in SQL, Python or Scala, experience with cloud platforms like Azure or AWS, and familiarity with data warehousing concepts and ETL tools are generally required, alongside knowledge of Databricks.

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