Senior Data Engineer (AWS & Databricks)

About this kind of role

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

Typically does: Data Engineers design, build, and maintain data pipelines and infrastructure to support data analysis and machine learning. They transform raw data into usable formats, ensuring data quality and reliability. This often involves working with large datasets and optimizing data storage solutions. They collaborate with data scientists, analysts, and other engineers to deliver data-driven insights.

Tools and skills: Proficiency in cloud platforms like Amazon Web Services (AWS), data processing tools like Databricks, and programming languages such as Python and SQL are 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.