Senior Databricks Data Engineer - 1659

About this kind of role

What a Senior Databricks Data Engineer - 1659 usually does. The employer's own details are in the listing.

Typically does: A Senior Data Engineer specializing in Databricks designs, builds, and maintains data pipelines and infrastructure. This role involves optimizing data processing workflows, ensuring data quality, and collaborating with data scientists and analysts. Responsibilities often include developing and implementing data governance policies and contributing to the overall data architecture. They may also mentor junior engineers and lead technical projects.

Tools and skills: Proficiency in Databricks, Spark, Python, SQL, cloud platforms (like AWS, Azure, or GCP), and experience with data warehousing concepts are typically required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and a desire to build scalable and reliable data solutions thrive in this role.