Senior Data Engineer- Databricks/PySpark/Python/SQL

About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines to transform and load large datasets. This role focuses on optimizing data infrastructure for performance and reliability, often working with cloud-based platforms. Senior Data Engineers are responsible for ensuring data quality and accessibility for data scientists and analysts. They also collaborate with other engineers and stakeholders to define data requirements and implement solutions.

Tools and skills: Proficiency in Databricks, PySpark, Python, and SQL is essential, alongside experience with data warehousing concepts, ETL processes, and cloud platforms.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment typically thrive in this role.