Sr. AI & Data Engineer - Databricks

About this kind of role

What a Sr. AI & Data Engineer - Databricks usually does. The employer's own details are in the listing.

Typically does: This role focuses on building and maintaining data pipelines, transforming raw data into usable formats, and developing machine learning models. Responsibilities include designing and implementing scalable data architectures, optimizing data processing workflows, and collaborating with data scientists and other engineers. The engineer will also be involved in deploying and monitoring machine learning models in production environments. A key focus is ensuring data quality, reliability, and security.

Tools and skills: Proficiency in programming languages like Python and Scala, experience with cloud platforms (particularly Databricks), and familiarity with big data technologies such as Spark, Delta Lake, and machine learning frameworks are typically required.

Good fit for: Individuals with a strong analytical background, a passion for data, and a desire to build robust and scalable data solutions are often successful in this role.