Senior Data Engineer (Cloud, Databricks & Advanced Analytics)

About this kind of role

What a Senior Data Engineer (Cloud, Databricks & Advanced Analytics) usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. Develops and optimizes data models, ensuring data quality and accessibility for analytics and reporting. Collaborates with data scientists, analysts, and other engineers to understand data needs and deliver effective data solutions. Implements and manages data governance policies and procedures to maintain data integrity and security.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud), Databricks, SQL, Python or Scala, ETL tools, and data warehousing concepts is generally required.

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 often thrive in this role.