Senior Databricks Data Engineer

About this kind of role

What a Senior 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. They focus on optimizing data processing workflows using Databricks’ platform and related technologies. This role involves collaborating with data scientists, analysts, and other engineers to ensure data quality, reliability, and accessibility. Senior Data Engineers often mentor junior team members and contribute to architectural decisions.

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 efficient data solutions thrive in this role.