Quality Engineer-Data

Job description

**Your Role and Responsibilities:** - As a Quality Engineer: Data, you will design and execute comprehensive data quality testing strategies for various data-intensive applications. You will develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity. **Your primary responsibilities will include:** - Design Testing Strategies: Design and execute comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations. - Plan Testing Activities: Plan and execute testing activities, estimate work efforts, create test cases, and identify test environment and test data requirements. - Execute Test Cases: Utilize manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution. - Analyze Test Outcomes: Analyze test outcomes for continuous improvements using analytical and cognitive techniques and tools. - Develop Test Scenarios: Develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity. **Required Education:** Bachelor's Degree **Preferred education** Master's Degree **Required Technical and Professional Expertise:** - Data Quality Testing Exposure: Exposure to designing and executing comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations. - Test Planning and Execution Experience: Experience working with planning and executing testing activities, estimating work efforts, creating test cases, and identifying test environment and test data requirements. - Manual and Automation Testing: Exposure to utilizing manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution. - Analytical Techniques Application: Experience applying analytical and cognitive techniques and tools to analyze test outcomes for continuous improvements. - Business Requirements Understanding: Exposure to developing a deep understanding of business requirements and designing optimized test scenarios to ensure data quality and integrity. **Preferred Technical and Professional Experience:** - Data Migration Knowledge: Exposure to data migration processes and technologies, including data profiling and data validation techniques. - Big Data Testing: Experience working with Big Data testing tools and methodologies, including Hadoop and Spark-based data processing. - ETL Testing Tools: Exposure to ETL testing tools and frameworks, including Informatica PowerCenter and Talend. ****Years of Experience:**** 3 - 5