Senior Data Engineer - Databricks (hybrid role)

About this kind of role

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

Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. This role involves transforming raw data into usable formats, ensuring data quality, and optimizing data processing workflows. They collaborate with data scientists, analysts, and other engineers to deliver reliable and scalable data solutions. Responsibilities often include data modeling, ETL development, and cloud infrastructure management.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with cloud platforms (particularly Databricks), SQL, data warehousing concepts, and ETL tools 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 typically thrive in this role.