Data QA Tester

Responsibilities

• Perform 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 Execution

• Develop 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 .
• Collaborate 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.
• Work 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 & Qualifications

• 7+ 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.

Seniority level

• Mid‑Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Staffing and Recruiting

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Location: Reston, VA (Remote)