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ETL QA Engineer

6 - 10 years

8 - 18 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Quality Assurance ETL QA Engineer - Lead (6-10 Years)

Bangalore - Full Time

Looking for immediate joiners. Interested candidates please share the updated resume with the Current CTC, Expected CTC, Years of experience and notice period details.

About the Role:

As a Lead ETL QA Engineer, you will drive the QA strategy and execution for a major data

pipeline modernization initiative on Azure and Snowflake. This role requires a deep

understanding of data quality frameworks, test planning, and stakeholder engagement. The

candidate should possess leadership capabilities and be hands-on with SQL and

automation.

The job responsibilities are as follows:

  • Own QA strategy and execution for Azure-based data engineering projects.
  • Define test plans and ensure traceability across test artifacts, requirements, and

defects.

  • Lead validation of Snowflake-based data lakes, transformations, and Power BI

dashboards.

  • Guide the QA team in testing complex SQL logic, Data Vault structures, and

downstream integrations.

  • Coordinate with product owners, architects, and developers to align test coverage

with business logic.

  • Manage test data setup, environment readiness, and pipeline triggers for testing

in CI/CD workflows.

  • Mentor junior team members and review their test deliverables for completeness

and accuracy.

  • Drive test automation initiatives using Python and Selenium, where applicable.
  • Prepare quality metrics and test status reports for leadership and stakeholders.

Desired skills and experience

Must Have:

  • 610 years of QA experience with strong exposure to Azure Data Factory

pipelines.

  • Expert in SQL, data profiling, complex joins, set operations, and anomaly

detection.

  • Experience validating Snowflake external/internal tables and pipeline

integrations.

  • Knowledge of Power BI reporting and back-end data validation.
  • Experience in test management tools, Agile ceremonies, and client interaction.
  • Ability to lead end-to-end test planning and delivery for large data programs

Good to Have

  • Working knowledge of Data Vault modeling and related test patterns.
  • Automation knowledge using Selenium with Python for data workflow and

Business Logic validations.

  • Familiarity with DevOps pipelines for test integration and execution.

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