ETL QA

Role Overview: As a Quality Engineer at the company, your main responsibility will be to design and execute test plans and test cases for ETL processes and data flows on the Cloud. You will be validating data extraction, transformation, and loading (ETL) processes from source to target systems. Additionally, you will be writing and executing complex SQL queries for data validation, reconciliation, and analysis. Your role will involve identifying, documenting, and tracking defects and data quality issues using QA tools and processes. Collaboration with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage will also be a key aspect of your responsibilities. Performing regression, integration, and system testing on ETL workflows and jobs, as well as automating repetitive testing using SQL scripts, data validation tools, or test frameworks will be part of your daily tasks. Ensuring testing is aligned with business rules and data integrity standards will be crucial for the success of the projects. Key Responsibilities: - Design and execute test plans and test cases for ETL processes and data flows on the 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 Qualifications Required: - Data warehousing knowledge (Nice to Have) (Note: No additional details about the company were mentioned in the job description.),