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Senior ETL QA Engineer

📁
Lead Software Engineer
📅
CREQ229911 Requisition #

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)

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