Data QA Tester

Key ResponsibilitiesData Quality & ValidationPerform data migration validation and reconciliation between legacy systems, staging environments, and target ERP systems (e.g., NetSuite).Validate data integration workflows, ensuring transformation logic, mapping rules, and business rules are correctly implemented.Conduct end-to-end data verification across Finance and Accounting datasets.Testing & QA ExecutionDevelop and execute Test Strategies, Test Plans, Test Cases, and Test Scripts.Perform functional, integration, regression, and user acceptance testing (UAT) for data pipelines, ERP modules, and API integrations.Validate ETL processes, ensuring correct extraction, transformation, and loading of financial and operational data.Use Python and/or PySpark to create automated test scripts and support data validation efforts.Execute API testing using tools such as Postman, Swagger, or comparable frameworks.Identify defects, log issues, track remediation, and prepare detailed QA reports.ERP & Financial Systems TestingCollaborate with ERP implementation teams to ensure accurate configuration and data mapping into NetSuite or similar ERP platforms.Validate financial transactions, master data, and accounting data flows across integrated systems.Support testing for General Ledger, AP, AR, revenue, fixed assets, and other financial modules.Cloud & Data Engineering CollaborationWork with AWS-based architectures to understand data ingestion paths and validate data flow across services.Interpret and validate AWS data flow diagrams and ETL designs for completeness and accuracy.Collaborate with Data Engineering to troubleshoot issues in data pipelines and integrations.Required Skills & Qualifications7+ years of experience as a Data QA Tester, QA Analyst, or Data Quality Specialist.Strong experience with ERP implementations, data migration testing, and integration validation.Hands-on experience with NetSuite or similar ERP platforms.Proficient in Python and/or PySpark for data validation and automation.Strong understanding of ETL concepts, data modeling, and data transformation logic.Experience with AWS services, cloud data pipelines, and data flow validations.Proficient in API testing methodologies and tools.Experience working with Finance and Accounting data, processes, and reporting structures.Strong SQL skills for querying and validating large datasets.Excellent documentation and communication skills, including test reporting

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