Senior Data Engineer - Databricks, SQL, Python, Snowflake

About this kind of role

What a Senior Data Engineer - Databricks, SQL, Python, Snowflake 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. Optimizes data infrastructure for performance, scalability, and reliability, ensuring data quality and accessibility for analytics and machine learning. Collaborates with data scientists, analysts, and other engineers to understand data needs and implement solutions. Troubleshoots and resolves data-related issues, monitoring systems and proactively identifying areas for improvement.

Tools and skills: Proficiency in data warehousing technologies like Snowflake, distributed processing frameworks such as Databricks, and programming languages including Python and SQL is essential.

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 typically thrive in this role.