
Senior ETL Test Engineer
4 days ago
Experience: Minimum 6 - 8 Years
Shift: 5PM - 2 AM (US Shift)
Mode of work: Work from Home
Location: Hyderabad Only
Key Roles & Responsibilities:
Strategy & Leadership
- Develop and implement comprehensive test strategies for Azure-Databricks ecosystems
- Lead and mentor QA/testing teams, coaching best practices and maintaining QE documentation.
- Act as the primary point-of-contact for all data testing activities
Test Planning & Execution
- Plan, design, and oversee test cases across functional, UAT, E2E, and performance domains.
- Validate ETL pipelines via SQL, Python, PySpark, Scala; ensure data accuracy in Azure Data Factory, Synapse, and Databricks.
Automation & Tooling
- Build and maintain automated testing frameworks integrated with CI/CD pipelines.
- Utilize test automation tools and data validation frameworks like Great Expectations.
- Use Databricks capabilities such as Delta Live Tables, Unity Catalog, and built-in workflows for monitoring and orchestration.
Performance & Quality
- Identify performance bottlenecks and guide performance/security testing efforts.
- Implement data governance, profiling, data ingestion validation, and pipeline monitoring.
- Documentation & Metrics
- Track QE progress, metrics, and communicate risks to stakeholders.
- Maintain detailed test cases, validation rules, defect logs, and automation artifacts.
Collaboration & Stakeholder Management
- Coordinate with data engineering, infrastructure, and business teams to resolve issues.
- Participate in Agile rituals like sprint planning and retrospectives.
Qualifications:
Experience
- years in Quality Engineering, particularly in data/ETL testing; leadership in Data Modernization initiatives preferred.
- Proven track record with Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, and Power BI.
Technical Proficiency
- Strong coding skills in Python, PySpark, Scala, SQL, (Java is a plus) for automation and data validations.
- Expertise in ETL testing, data pipeline frameworks (ingestion, profiling, DataOps) and Unity Catalog.
- Good understanding of data governance, profiling, ingestion, and data quality validation.
Automation & DevOps
- Strong knowledge of test automation frameworks, CI/CD (Azure DevOps, Git), and experience integrating test frameworks into pipelines.
Soft Skills
- Excellent analytical, problem-solving and communication abilities.
- Stakeholder management and coordination skills across matrix environments.
- Self-motivated with proactive mindset.
Education
Bachelor's or Master's in Computer Science, Engineering, IT, or related.
Optional/Domain-specific Add-ons:
- Domain experience (e.g., HealthCare Exp)—bonus.
- Familiarity with Power BI as ETL visualization tool.
- Certifications in Azure or Databricks (e.g., Azure Data Engineer, Databricks Associate)
Background Verification of the candidates will be done.
Strictly NO moonlighting.
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