Sr - ETL Test Engineer

3 days ago

Hyderabad, Telangana, India hiReign Innoways Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Experience: Minimum Years

Shift: 5PM - 2 AM (US Shift)

Mode of work: REMOTE - Work from Home

Location: Hyderabad Only

Background Verification of the candidates will be done.

Strictly NO moonlighting.

Qualifications:

Experience

  • years in Quality Engineering, particularly in data/ETL testing; leadership in Data Modernization initiatives preferred.

Technical Proficiency

  • Strong coding skills in SQL, Python, PySpark, Scala, (Java is a plus) for automation and data validations.
  • Strong Expertise in ETL testing, data pipeline frameworks (ingestion, profiling, DataOps) and Unity Catalog.
  • Hands-on Strong experience in Datawarehouse Concepts.
  • Experience in writing numerous test cases.
  • Good understanding of data governance, profiling, ingestion, and data quality validation.

Soft Skills

  • Excellent analytical, problem-solving and communication abilities.
  • Stakeholder management and coordination skills across matrix environments.
  • Self-motivated with proactive mindset.

Good to have:

Automation & DevOps

  • Strong knowledge of test automation frameworks, CI/CD (Azure DevOps, Git), and experience integrating test frameworks into pipelines.

Key Roles & Responsibilities:

Strategy & Leadership

  • Develop and implement comprehensive test strategies
  • 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.

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.

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)

Education

Bachelor's or Master's in Computer Science, Engineering, IT, or related

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