Automation Test Engineer- GCP

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear quantifiable outcomes. Our company is the culmination of several successful firms each a leader in its own right in cloud artificial intelligence and data. This convergence of talent and expertise is how we help businesses reach their own inflection point where chaotic data becomes a strategic asset complexity becomes clarity and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise with autonomous systems unlocking human potential.

At 66degrees we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role
As a Senior QA Engineer Data you will lead the QA effort for complex data engineeringpipelines on Google Cloud Platform. Youll design and implement multi-layered testingstrategiesintegration end-to-end and data quality testsacross tools like dbt DataflowDataproc BigQuery AlloyDB Cloud SQL Cloud composer and Cloud Run etc. Your work ensures the accuracy reliability and performance of data systems at scale.

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 containertests and SQL-based data validation in BigQuery/dbt.
Develop and execute data quality frameworks using dbt tests (schema singularfreshness) 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 stored procedures and database functions with sample data.
End-to-End (E2E) Pipeline Validation
Orchestrate comprehensive E2E tests via Cloud Composer/Apache Airflow or 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) automatingtest execution at all levels including data quality validations and dbt runs.
Use IaC tools (Terraform Deployment Manager) to provision reproducible testenvironments.
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 toimprove data quality KPIs and test effectiveness.
Monitoring & Observability
Utilize Cloud Logging Monitoring and observability tools (e.g. Elementary Data) totrack 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 RunSpanner 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.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race color religion sex gender gender identity national origin age weight height marital status sexual orientation veteran status disability status or other legally protected class.

As an AI transformation partner 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI toolsincluding LinkedIn Recruiters Hiring Assistant and interview transcription technologiesto assist with sourcing role analysis and capturing interview highlights.

These tools augment our process but we Commit to Our Craft by ensuring all final hiring decisions are made by our human Talent Team. By applying you acknowledge the use of these technologies to help us Win Together in finding the best fit for our team.