Senior Quality Assurance Test Engineer

Coforge

Hyderabad

On-site

INR 1,200,000 - 1,600,000

Full time

14 days+

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Job summary

Coforge is seeking a QA Automation & Data Testing Engineer to validate large-scale data platforms and ETL pipelines in Hyderabad. The role requires strong Python, SQL, ETL/data testing expertise and Snowflake validation, with experience integrating tests into CI/CD pipelines.

You will design and implement automated test frameworks, validate data migrations, and generate quality metrics across enterprise data platforms. The position emphasizes data quality, automation, and release verification.

Qualifications

  • 6–10 years of experience in QA automation and data testing.
  • Strong Python, SQL, ETL testing experience.
  • Snowflake data validation experience.

Responsibilities

  • Design, develop, and maintain automated test frameworks using Python.
  • Perform ETL and Data Warehouse testing for complex data pipelines.
  • Validate data migration, transformation, and loading processes.
  • Conduct Snowflake data validation and ensure data accuracy, completeness, and consistency.
  • Develop and execute automated test cases for data platforms and APIs.
  • Integrate automated test suites with CI/CD pipelines using GitHub Actions.
  • Analyze defects, perform root cause analysis, and work with development teams for resolution.
  • Execute production validation and release verification activities.
  • Generate test execution reports, dashboards, and quality metrics.
  • Review requirements and design test strategies for data-centric applications.
  • Ensure adherence to QA best practices, automation standards, and testing processes

Skills

Python
SQL
ETL Data Testing
Snowflake validation
CI/CD integration
Test automation framework development

Tools

GitHub Actions

Job description

Skills: Python (strong proficiency, ETL Testing, Snowflake data validation

Experience: 6-10 years

Notice Period : 0- 30days

We at Coforge Hiring for ETL testing with the following skillset

Recommended Skills: Python (strong proficiency, ETL Testing, Snowflake data validation

Job Description

We are looking for an experienced QA Automation & Data Testing Engineer to validate large-scale data platforms and ETL pipelines. The ideal candidate should have strong expertise in Python, SQL, ETL/Data Testing, Snowflake validation, CI/CD integration, and test automation framework development. The role involves ensuring data quality, automation of testing processes, production validation, and release verification across enterprise data platforms.

Key Responsibilities
  • Design, develop, and maintain automated test frameworks using Python.
  • Perform ETL and Data Warehouse testing for complex data pipelines.
  • Validate data migration, transformation, and loading processes.
  • Conduct Snowflake data validation and ensure data accuracy, completeness, and consistency.
  • Develop and execute automated test cases for data platforms and APIs.
  • Integrate automated test suites with CI/CD pipelines using GitHub Actions.
  • Analyze defects, perform root cause analysis, and work with development teams for resolution.
  • Execute production validation and release verification activities.
  • Generate test execution reports, dashboards, and quality metrics.
  • Review requirements and design test strategies for data-centric applications.
  • Ensure adherence to QA best practices, automation standards, and testing processes
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