Data Engineer II - Databricks

About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. Develops and implements efficient data models, ensuring data quality and accessibility for analytics and reporting. Optimizes data infrastructure for performance and scalability, troubleshooting data-related issues and collaborating with data scientists and analysts. Automates data processes and monitors pipeline health to ensure reliable data delivery.

Tools and skills: Proficiency in SQL, Python, Spark, and cloud platforms like Databricks, AWS, or Azure, along with experience in ETL processes and data warehousing concepts.

Good fit for: Individuals with a strong analytical mindset and a passion for working with large datasets to build robust and scalable data solutions.