Quality Assurance Engineer- Bigquery

Overview

Senior QA Engineer for data, leading quality for complex data engineering pipelines on Google Cloud Platform.

What you'll do

• Define and maintain testing methodologies for the GCP data engineering stack.
• Design and execute data quality frameworks using dbt tests and external tools.
• Build integration and regression tests for ETL/ELT pipelines, including Cloud Run container/HTTP-trigger tests.
• Run end-to-end pipeline validations via Cloud Composer/Apache Airflow or scripting.
• Embed QA into CI/CD pipelines and automate test execution.
• Use cloud logging/monitoring tools to track pipeline health and test results.

What you'll need

• 5+ years in QA or software testing focused on data pipelines/data warehouses.
• Proficient in complex SQL and writing data validation queries.
• Experience with GCP data tools such as dbt, BigQuery, Dataflow, Dataproc, and Cloud Run.
• Hands-on with data-quality frameworks including Great Expectations and Soda Core.
• CI/CD automation experience using Jenkins/GitLab CI/GitHub Actions.
• Scripting and testing skills with Python and pytest.
• Ability to collaborate, mentor, and communicate clearly.