Automation Test Engineer- GCP

Responsibilities Testing Strategy & Test Design • Define and maintain testing methodologies for the full GCP data engineering stack: Dataflow (TestPipeline), Dataproc (spark-testing-base or pytest), Cloud Run container tests, and SQL-based data validation in BigQuery/dbt. • Develop and execute data quality frameworks using dbt tests (schema, singular, freshness) and external tools like Great Expectations, Soda Core, and Dataplex. Pipeline & Database Testing • Implement integration, and regression tests for ETL/ELT pipelines, including container- level and HTTP-triggered tests for Cloud Run. • Use emulators or dedicated test instances to test Spanner, Cloud SQL, and AlloyDB. Validate stored procedures and database functions with sample data. End-to-End (E2E) Pipeline Validation • Orchestrate comprehensive E2E tests via Cloud Composer/Apache Airflow or scripting. Simulate real-world data flows and validate intermediate and final outputs. CI/CD & Automation • Embed QA in CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions), automating test execution at all levels including data quality validations and dbt runs. • Use IaC tools (Terraform, Deployment Manager) to provision reproducible test environments. Collaboration & Stakeholder Engagement • Partner with data engineers and stakeholders to review design for testability. • Mentor junior QA team members, champion QA best practices, and lead efforts to improve data quality KPIs and test effectiveness. Monitoring & Observability • Utilize Cloud Logging, Monitoring, and observability tools (e.g., Elementary Data) to track pipeline health, test results, and identify anomalies.

Required Qualifications • 5+ years in QA or software testing, including focused on data pipelines/data warehouses • Proficient in complex SQL and writing data validation queries. • Strong experience with GCP data tools: dbt, BigQuery, Dataflow, Dataproc, Cloud Run, Spanner, AlloyDB, Cloud SQL. • Hands-on with data-quality frameworks: Great Expectations, Soda Core, dbt-utils, dbt-expectations. • Familiarity with database emulators and test environment provisioning. • CI/CD automation experience (Jenkins, GitLab CI, GitHub Actions). • Skilled in scripting languages (Python, pytest). • Excellent communication, mentoring ability, critical thinking, and attention to detail. • API testing with PI Testing Postman REST APIs

Preferred Qualifications • GCP Professional Data Engineer certification • Experience enhancing dbt tests with dbt-utils and dbt-expectations. • Knowledge of BigQuery data-quality services like Dataplex. • Proficient with observability tooling (Cloud Logging, Elementary Data). • Familiarity with data governance, lineage, and compliance validation. • Exposure enterprise-based data migration project • Exposure to Datawarehouse modernization

Please note, we cannot sponsor or transfer any visas, of any kind, at this time.

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