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Lead Data QA Automation Engineer
Lead Data QA Automation EngineerConfidential • India
Lead Data QA Automation Engineer

Lead Data QA Automation Engineer

Confidential • India
28 days ago
Job description

Job Title : Lead Data QA Automation Engineer (ETL | Snowflake | Python | AWS)

Experience : 8+

Location : Remote

Type : Contract

About The Role

We are looking for a Lead Data QA Automation Engineer to design, develop, and drive test automation frameworks for our enterprise data ecosystem. The ideal candidate has a strong foundation in ETL testing , data validation , and Python-based automation , with hands-on experience across modern data platforms like Snowflake , AWS , and SQL Server .

You will collaborate closely with Data Engineers, BI Developers, and DevOps teams to ensure end-to-end data quality , accuracy, and reliability across pipelines and analytics layers.

Key Responsibilities

Data Warehouse & Database Validation

  • Write and execute complex SQL queries (joins, CTEs, window functions) to validate data integrity and transformations.
  • Validate data migrations and transformations across heterogeneous systems (e.g., SQL Server → Snowflake).
  • Ensure schema, metadata, and aggregation accuracy during ETL processes.
  • Conduct data reconciliation, completeness, and performance validation.

ETL & Data Pipeline Testing

  • Review and validate ETL mappings, transformations, and business rules.
  • Perform end-to-end validation of source-to-target data flows.
  • Collaborate with Data Engineering teams on issue resolution and defect tracking.
  • Test data pipelines developed using tools such as Informatica, Azure Data Factory, SSIS, or dbt.
  • Automation Framework Development

  • Design and implement Python-based data validation frameworks using Pytest, unittest, or TestNG.
  • Automate ETL and data reconciliation tests for scalability and reusability.
  • Integrate data QA automation into CI / CD pipelines (GitLab, Jenkins, or GitHub Actions).
  • Maintain version control and reporting via Git-based workflows.
  • Cloud & BI Ecosystem

  • Work hands-on with Snowflake for query optimization, data validation, and automation integration.
  • Utilize AWS services (e.g., S3, Lambda, Redshift) to validate cloud data workflows.
  • Perform downstream validation of BI reports built in Tableau or Power BI to ensure end-to-end accuracy.
  • Required Skills

  • Strong SQL expertise with complex query development and debugging.
  • Proven experience in ETL automation testing and data warehouse validation.
  • Proficiency in Python scripting for automation (Pytest, unittest, etc.).
  • Experience with Snowflake, SQL Server, and AWS.
  • Familiarity with CI / CD tools like GitLab, Jenkins, or GitHub Actions.
  • Understanding of ETL tools (Informatica, ADF, SSIS, dbt).
  • Exposure to Tableau, Power BI, or Looker for report validation.
  • Preferred Skills

  • Experience developing or enhancing data quality automation frameworks.
  • Familiarity with data quality tools or monitoring frameworks.
  • Knowledge of data governance, data lineage, or metadata management concepts.
  • Experience working in agile / scrum environments with data engineering teams.
  • Skills : aws,ci / cd,sql,python,snowflake testing,etl testing,snowflake,etl,data quality,qa automation,automation,aws data qa,etl automation tester,etl tester,data qa engineer,test automation framework,python automation

    Skills Required

    Azure Data Factory, Power Bi, dbt, snowflake , Tableau, Informatica, Ssis, Python, Sql, Etl, Aws

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