ETL QA lead

Quality Engineers

Design and execute test plans and test cases for ETL processes and data flows on Cloud

Validate data extraction, transformation, and loading (ETL) processes from source to target systems.

Write and execute complex SQL queries to perform data validation, reconciliation, and analysis.

Identify, document, and track defects and data quality issues using QA tools and processes.

Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage.

Perform regression, integration, and system testing on ETL workflows and jobs.

Automate repetitive testing using SQL scripts, data validation tools, or test frameworks.

Ensure testing is aligned with business rules and data integrity standards.

Design and execute test plans and test cases for ETL processes and data flows on cloud

Validate data extraction, transformation, and loading (ETL) processes from source to target systems.

Write and execute complex SQL queries to perform data validation, reconciliation, and analysis.

Identify, document, and track defects and data quality issues using QA tools and processes.

Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage.

Perform regression, integration, and system testing on ETL workflows and jobs.

Automate repetitive testing using SQL scripts, data validation tools, or test frameworks.

Ensure testing is aligned with business rules and data integrity standards.

Data warehousing knowledge (Nice to Have)

Qualifications - External

Design and execute test plans and test cases for ETL processes and data flows on Cloud

Validate data extraction, transformation, and loading (ETL) processes from source to target systems.

Write and execute complex SQL queries to perform data validation, reconciliation, and analysis.

Identify, document, and track defects and data quality issues using QA tools and processes.

Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage.

Perform regression, integration, and system testing on ETL workflows and jobs.

Automate repetitive testing using SQL scripts, data validation tools, or test frameworks.

Ensure testing is aligned with business rules and data integrity standards.

Design and execute test plans and test cases for ETL processes and data flows on cloud

Validate data extraction, transformation, and loading (ETL) processes from source to target systems.

Write and execute complex SQL queries to perform data validation, reconciliation, and analysis.

Identify, document, and track defects and data quality issues using QA tools and processes.

Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage.

Perform regression, integration, and system testing on ETL workflows and jobs.

Automate repetitive testing using SQL scripts, data validation tools, or test frameworks.

Ensure testing is aligned with business rules and data integrity standards.

Data warehousing knowledge (Nice to Have)

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.