Senior Data Engineer-Databricks & Data Modeling

About this kind of role

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

Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and business intelligence. They focus on optimizing data flow, ensuring data quality, and developing robust data models. This role often involves collaborating with data scientists, analysts, and other engineers to deliver data-driven solutions. They may also be responsible for mentoring junior engineers and contributing to data architecture decisions.

Tools and skills: Proficiency in data warehousing concepts, SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), and data modeling techniques is generally expected, alongside experience with tools like Databricks and ETL processes.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to translate business requirements into technical solutions often thrive in this role.