Data Engineer I (Databricks, MLOps)

About this kind of role

What a Data Engineer I (Databricks, MLOps) usually does. The employer's own details are in the listing.

Typically does: Data Engineers design, build, and maintain data pipelines that transform raw data into usable formats for analysis and reporting. They work with large datasets, ensuring data quality and reliability across various systems. This role often involves developing and implementing ETL (Extract, Transform, Load) processes and optimizing data infrastructure for performance. Data Engineers also collaborate with data scientists and analysts to understand their data needs and provide solutions.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with data warehousing solutions, and familiarity with cloud platforms like Databricks, alongside knowledge of database technologies (SQL, NoSQL) and MLOps principles are generally expected.

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.