We are looking for a skilled Data Warehouse QA Engineer who thrives in modern data environments and is passionate about ensuring data quality at scale.

You should have solid experience with Snowflake and AWS, a deep understanding of SQL, and practical knowledge of dbt testing. Familiarity with Snowflake's advanced features like Time Travel and zero-copy cloning will be key to your success in this role. We value individuals who can quickly get up to speed with complex data ecosystems and enjoy collaborating in Agile teams.

Role Overview

As a Data Warehouse QA Engineer, your responsibilities will include:

• Conducting comprehensive testing of data warehouse solutions, with an emphasis on Snowflake and AWS technologies.
• Validating end-to end data flows, ensuring data completeness, correctness, and reliability.
• Designing and executing complex SQL queries to verify large and diverse datasets.
• Leveraging Snowflake capabilities, such as Time Travel, zero-copy cloning, and scaling tools, to enhance testing accuracy and efficiency.
• Rapidly integrating into our data landscape and existing workflows.
• Partnering with development and data engineering teams to ensure alignment on project goals and delivery schedules.
• Building and maintaining automated data validation processes within Snowflake environments.
• Contributing to Agile ceremonies and driving quality improvements within Agile project cycles.

Availability: ASAP