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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