Role Description As a Sr. QA Manual Tester, you will conduct Software Quality Assurance testing activities to ensure that Claritev application products operate correctly and meet specified requirements and to work as part of a team with influence across a larger organization. Job Roles and Responsibilities - Analyze business requirements and technical specifications for Claritev applications. - Create the corresponding test strategy, test plans, and test cases for Claritev’s SQA team. - Execute SQA testing of Claritev applications in accordance with project documentation and aligned with company standards. - Perform back-end (database) testing using SQL queries on Oracle and SQL Server databases. - Perform regression and integration testing. - Perform front-end (functional) testing of Web and GUI applications. - Analyze test results and log defects in JIRA. - Partner with project team members on the resolution and re-testing of identified defects and issues. - Collaborate, coordinate, and communicate across disciplines and departments. - Ensure compliance with HIPAA regulations and requirements. - Demonstrate commitment to the Company’s core values. - Please note due to the exposure of PHI sensitive data – this role is considered to be a High Risk Role. - The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. Qualifications - Minimum bachelor’s degree or 10 years of IT experience. - Minimum 8 years’ experience performing Software Quality Assurance testing. - Knowledge of Web Services testing tools (XML, SOAP/UI, Restful, Postman, ReadyAPI etc.). - Ability to write and understand SQL against Oracle databases. - Knowledge of testing in cloud technologies (AWS, Azure or OCI). - Knowledge of medical claim processing. - Advanced knowledge of Software QA automated test tools a plus. - Knowledge of load testing. - Knowledge of medical terminology. - Knowledge of health care industry. - Knowledge of project management and execution of multiple projects. - Knowledge of defect tracking tools. - Knowledge of health care EDI formats and processes a plus. - Knowledge of automated testing and performance testing tools. - Knowledge of UI testing a plus. - Communication (verbal, written and listening), planning, organizing, analytical, project management, problem-solving and decision-making skills. - Ability to analyze data and arrive at a logical conclusion. - Ability to effectively present information and respond to questions from groups of managers, clients and customers. - Ability to evaluate production situations and current information to determine the appropriate course of action and execute decisions. - Ability to operate in a dynamic change environment. Requirements - The salary range for this position is $90-100k. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. - This position is also eligible for health insurance, 401k and bonus opportunity. Benefits - Medical, dental and vision coverage with low deductible & copay. - Life insurance. - Short and long-term disability. - Paid Parental Leave. - 401(k) + match. - Employee Stock Purchase Plan. - Generous Paid Time Off – accrued based on years of service. - WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service. - 10 paid company holidays. - Tuition reimbursement. - Flexible Spending Account. - Employee Assistance Program. - Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits. EEO Statement Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. Application Deadline We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.

• Define and implement QA strategies, including planning manual testing and automation where applicable. • Supervise and review the work of Junior and Mid-level QA analysts, providing technical feedback and guidance. • Develop complex tests to cover critical scenarios and validate product integrity in large-scale systems. • Actively participate in the design and validation of new products, identifying potential risks and areas for improvement. • Ensure QA processes comply with the company's quality standards. • Lead investigations into critical issues and produce detailed reports for management and stakeholders. • Conduct training sessions and promote knowledge sharing between QA and development teams.

Req ID: 348690 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Test Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN). Job Duties: Roles & Responsibilities Execute data validation queries to compare: Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs). Perform: Row-count checks between source and target tables. Aggregate validations (sums, counts, averages, distinct counts, min/max). Sample and cell-level comparisons for critical entities and fields. Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints). Log discrepancies, analyze patterns, and work with developers to support root-cause analysis. Understand Informatica mappings and workflows and their expected outputs. Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs. Test Databricks notebooks/jobs that replicate Yellowbricks logic — ensuring correct transformations, joins, filters, and aggregations. Validate CDC / incremental loads: new, changed, and deleted records are handled correctly. Execute functional tests to verify correct application of business rules after migration. Perform regression testing for each migration wave to ensure that previously validated data and flows remain correct. Support integration testing across layers: Source → Databricks / Snowflake dbt → Snowflake → downstream reports or extracts Validate downstream outputs (if in scope): reports, extracts, or interfaces that consume migrated data. Assist in executing basic performance tests for key queries and jobs (e.g., comparing runtime vs baseline). Monitor pipeline runs for job failures, retries, and data volume anomalies. Execute test cases, record results, and maintain traceability to requirements. Log defects with clear steps, data samples, and evidence (screenshots/SQL) in the defect tracking tool (e.g., JIRA, Azure DevOps). Retest resolved defects and support regression runs. Maintain test case repositories, test data sets, and execution logs for audit and re-use. Participate in daily stand-ups / defect triage with onshore/offshore teams. Minimum Skills Required: Experience 2-4 years of experience in Software Testing / QA, with at least 2+ years in Data Warehouse / ETL testing. Practical experience in data migration / data platform modernization projects is strongly preferred. Technical Skills Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters). Hands-on experience testing on at least one data platform such as: Snowflake, Databricks, or other cloud DW/Big Data platforms – experience with Snowflake/Databricks is a plus. Exposure to Informatica (understanding mappings/workflows and expected outputs). Exposure to dbt or willingness to learn dbt-based validations (model outputs, dbt test results). Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping. Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest). Experience with Excel or similar tools for managing validation results and reconciliation artifacts. Soft Skills Strong attention to detail and a structured approach to validation. Ability to analyze data discrepancies and collaborate with developers to narrow down issues. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

ClassWallet, a leading financial technology company in the United States, is seeking to hire a Data Quality Assurance Engineer to join our team. ClassWallet is a financial technology company serving agencies delegated responsibility to manage public funds. Agencies use ClassWallet to get public funds to the right people, and ensure the funds are used for the right purpose. ClassWallet’s suite of products and services empowers agency administrators to dramatically increase efficiency of funds distribution and spend compliance, reduce programmatic costs, maximize the full potential impact of the program, and satisfy the needs and expectations of policymakers, constituents and public reporting. ClassWallet has processed over $3.5 Billion to date and serves public agencies across 33 states. The Company has developed an industry-defining digital wallet solution which has gained rapid traction among state and local agencies and school districts across America. ClassWallet ranks as the 61st fastest growing software company on the prestigious Inc. 5000 list of fastest-growing private companies and the 21st fastest growing financial technology company on the Deloitte Technology Fast 500 in 2023. While the Company delivers immense business value, the social impact of ClassWallet is a fabric that runs through its mission and corporate culture. As a result of ClassWallet’s innovation, public programs run with exponentially more efficiency and the impact and breadth of the programs for the individuals they serve is dramatically higher. This mission compliments the Company mission-based culture with focus on gratitude and work-life balance. About the Role We are seeking a highly skilled and motivated Data Quality Assurance Engineer with experience in business intelligence and data analytics to join our dynamic team. This role will be responsible for ensuring the integrity, accuracy, and reliability of data powering our business intelligence and analytics platform. You will play a critical role in designing and implementing automated testing frameworks, monitoring data pipelines, and collaborating with cross-functional teams to define data quality standards, detect data drift and ensure the quality of our data deliverables. Job Responsibilities - Design, implement, and maintain automated data quality checks to validate accuracy, completeness, consistency, and timeliness across data pipelines and analytics layers. - Implement proactive monitoring and alerting for data pipelines to detect anomalies, schema changes, or data drift. - Validate business logic, calculations, aggregations and filters in BI tools to ensure alignment with business definitions. - Perform end-to-end testing of data pipelines, including ingestion, transformation (ETL/ELT), semantic layers and reporting outputs. - Conduct regression testing for schema changes, pipeline updates, and BI model modifications. - Integrate data quality checks into CI/CD pipelines and production monitoring. - Monitor data freshness, volume, and distribution to proactively detect and alert on failures or quality degradation. - Partner with data engineering, analytics, and product teams to define data acceptance criteria and quality thresholds.