Sr Databricks Data Engineer

About this kind of role

What a Sr Databricks Data Engineer 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 be involved in mentoring junior engineers and researching new technologies.

Tools and skills: Proficiency in Databricks, Spark, SQL, Python, Delta Lake, 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.