Data Engineer I (Databricks, AWS, Python)

About this kind of role

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

Typically does: Data Engineers build and maintain data pipelines that collect, process, and store large datasets. They transform raw data into usable formats for analysis and reporting, ensuring data quality and reliability. This often involves designing and implementing ETL (Extract, Transform, Load) processes and optimizing data infrastructure for performance. Data Engineers also monitor data systems, troubleshoot issues, and collaborate with data scientists and analysts.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms such as AWS, and familiarity with data processing frameworks like Databricks are generally required, alongside SQL and database management skills.

Good fit for: Individuals with strong analytical and problem-solving abilities, a passion for data, and a desire to build robust and scalable data solutions often thrive in this role.