Senior ETL QA Engineer
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)
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)