Job Description – Sr. Data QA System Soft Technologies is a premier technology company providing exceptional consulting services and solutions that drive innovation, enhance business value, and boost competitiveness. For over 25 years, we have built trusted partnerships with our clients, helping us grow into a $200MM enterprise. With the collective resources of over 1,200 associates covering the full spectrum of IT expertise, we anticipate and meet the unique needs of our clients, consistently delivering exceptional quality that exceeds expectations Job Summary Client is looking for Sr. Data QA Consultant who can support for Brazil Remotely Responsibilities Develop and execute test cases to assess data quality, including accuracy, completeness, consistency, and conformity to business rules. Validate data against source systems, ETL processes, and target databases to ensure data integrity. Conduct data profiling activities to identify data anomalies, inconsistencies, and potential data quality issues. Contribute to the development of test plans, strategies, and cases for data-related testing activities within the CX Portfolio. Execute test cases, including functional, regression, and performance testing of data-related components. Track and manage defects related to data quality and data integrity. Prepare and deliver regular status reports on data testing activities, including test coverage, defect metrics, and data quality issues. Collaborate with data governance teams to ensure adherence to data quality standards and best practices within the CX Portfolio. Demonstrate a deep understanding of data quality concepts, testing methodologies, and tools. Qualifications: Minimum 4 years of manual testing experience Experience with Teradata (not required) Experience with relational database testing is a must have Mainframe testing experience Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team Experience with data warehousing and data modeling concepts Familiarity with SQL and data querying languages Knowledge of data quality tools and frameworks is a plus