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.

About IBM

At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We're here to help every creator turn their "what if" into what is. Let's create something that will change everything.