AWS Databricks Data Engineer

About this kind of role

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

Typically does: A Data Engineer specializing in AWS Databricks builds and maintains data pipelines, transforming raw data into usable formats for analysis and reporting. They design, develop, and optimize data storage solutions, often utilizing cloud-based services. This role involves collaborating with data scientists, analysts, and other engineers to ensure data quality and accessibility. Responsibilities frequently include automating data processes and troubleshooting data-related issues.

Tools and skills: Proficiency in Python, SQL, Spark, Delta Lake, AWS services (S3, EC2, IAM), and Databricks is generally required, alongside experience with data warehousing concepts and ETL processes.

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