ETL QA lead

Job Description

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)