--- title: 'ETL Tester- Bigquery at 66degrees' canonical: 'https://feeny.ai/job/etl-tester-bigquery-66degrees-pune-ad18f6exyk3m' type: 'job' last_seen: '2026-09-05' --- # ETL Tester- Bigquery at 66degrees - **Company:** 66degrees - **Location:** Pune, India - **Posted:** 2026-09-04 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/66degrees/jobs/6182465004 ## Job description ## Overview of 66degrees 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 engineering pipelines on Google Cloud Platform. You’ll design and implement multi-layered testing strategies—integration, end-to-end, and data quality tests—across tools like dbt, Dataflow, Dataproc, 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 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. 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. AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to 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. ## About 66degrees ## Company Overview - **One-liner**: 66degrees is an enterprise AI transformation and Google Cloud partner that helps organizations build intelligent, agentic systems by modernizing data, applications, and infrastructure. - **Entity Type**: Private (acquired by The Marketing Junction in February 2026) - **Headquarters**: Chicago, Illinois, United States - **Founded**: 2009 - **Founders**: Not publicly available (the company was formed through the merger of Cloudbakers and Qwinix) ## Core Business - **Primary industries**: Enterprise AI/ML services, Google Cloud consulting and implementation, data analytics, application modernization - **Target customers**: Large enterprises across retail, healthcare & life sciences, financial services, travel & hospitality, supply chain, manufacturing, and energy/utilities (B2B, Enterprise) - **Mission or purpose statement**: “To guide enterprises through the age of AI and shape the future of work” – helping clients turn complexity into clarity by building the Agentic Enterprise. ## Products & Services - **Agentic AI**: Design and deploy custom AI agents that orchestrate complex business workflows, automate customer touchpoints, and improve employee productivity. - **Data & Analytics**: Data strategy, governance, predictive analytics, and AI-ready platform modernization (leveraging BigQuery, Vertex AI, etc.). - **Application Modernization**: Develop cloud-native apps on Google Cloud integrated with AI/ML services for agility and scalability. - **Customer Engagement Suite**: AI-driven customer experiences using Google Cloud’s contact center tools (e.g., Gemini) to enhance satisfaction and reduce costs. - **Gemini Enterprise**: Enterprise adoption of Google’s Gemini models for productivity and innovation. - **Infrastructure**: Migration and modernization of legacy infrastructure to a unified, AI-ready cloud platform. - **Managed Services & MLOps/LLMOps**: Ongoing performance monitoring, cost management, and governance for AI models in production. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding – Not publicly available (no public funding rounds; growth has been organic and through acquisitions) - **Notable Investors/Partners**: - **Google Cloud** – Diamond Partner, multi-year Partner of the Year for AI and North American expansion - **The Marketing Junction** – acquirer (February 2026) - **Growth Signals**: - Opened a Chicago Global Headquarters and Client Innovation Center in 2025 - Added offices in Pune, India (3rd global office) and expanded Bengaluru Indian HQ - 2025 Google Cloud Partner of the Year for Artificial Intelligence - Claims 90% automation of customer touchpoints for a travel & hospitality leader and $10M annual savings for a Fortune 250 client - Grew AI/ML practice significantly year-over-year in 2024 ## Competitive Advantages - **Deep Google Cloud Specialization**: Only a handful of firms hold Diamond Partner status across AI, Data & Analytics, and Infrastructure competencies. - **Proven Client ROI**: Demonstrates quantifiable results (e.g., $10M savings, 70% automation, 4x improvements in call center quality). - **Agentic AI Lifecycle Management**: End-to-end capabilities from strategy to deployment to ongoing governance (MLOps/LLMOps). - **Combined Expertise**: Convergence of top-tier firms (Cloudbakers, Qwinix, Pandera Systems) creating a dedicated, cohesive practice focused solely on Google Cloud and AI. ## Strategic Focus - **Agentic Enterprise**: Helping clients move beyond AI pilots to production-ready agentic systems that transform business workflows. - **Data Modernization**: Building unified, AI-ready data platforms from fragmented legacy systems. - **Global Scale**: Expanding delivery footprint across North America, India, and Europe to serve enterprise clients. - **Continuous AI Governance**: Ensuring AI investments are predictable, secure, and cost-efficient through managed services. ## Why Work Here - **Cutting-Edge Technology**: Work with Google Cloud’s latest AI/ML tools (Vertex AI, Gemini, BigQuery) before they become mainstream. - **Impact at Scale**: Deliver measurable outcomes for global brands – e.g., saving millions in costs or automating majority of customer interactions. - **Growth and Learning**: Multi-year Partner of the Year recognition indicates strong career development opportunities and access to elite training. - **Culture**: Described as a “convergence of world-class engineers, architects, and strategists” with shared purpose and passion. - **Work Model**: Offices in Chicago (HQ), Bengaluru, and Pune; remote/hybrid policy not explicitly stated – likely flexible given global team structure. - **Benefits**: Focus on driving quantifiable impact, innovation, and working on “the most ambitious and complex challenges.” ## Sources 1. [66degrees.com](https://www.66degrees.com/) 2. [About Us – 66degrees](https://www.66degrees.com/about-us) 3. [Careers – 66degrees](https://www.66degrees.com/careers) 4. [CBInsights – 66degrees](https://www.cbinsights.com/company/66degrees) 5. 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