Urbane Systems
Urbane Systems is hiring: Data QA Tester in Virginia
Urbane Systems, Virginia, MN, United States, 55792
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)