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We are looking for a skilled and detail-oriented QA Data Engineer to join our offshore QA team. The ideal candidate will have strong experience in API testing, functional validation, and data verification with hands-on SQL expertise. This role requires close collaboration with technical and business stakeholders to ensure high-quality delivery across financial and Salesforce-based applications. The candidate should be capable of understanding complex data flows, validating integrations, and ensuring end-to-end quality across applications and data layers.
Job Responsibility
Perform functional, API, and data validation testing across enterprise applications
Validate data integrity and transformations using SQL queries and backend data analysis
Develop and execute comprehensive test scenarios, test cases, and regression suites
Test REST/SOAP APIs using tools such as Postman or similar platforms
Collaborate with developers, business analysts, and product teams to understand requirements and validate business logic
Validate integrations between Salesforce and downstream/upstream systems
Identify, document, track, and retest defects through resolution
Support SIT, UAT, regression, and release validation activities
Participate in Agile ceremonies and contribute to quality improvement initiatives
Requirements
4-7 years of experience in QA and data validation testing
Strong hands-on experience with API testing
Solid background in QA functional testing
Mid-level proficiency in SQL for data validation and backend testing
Experience working with Financial applications and business workflows
Experience in Salesforce environments
Strong understanding of system integrations and data flows
Ability to collaborate effectively with both technical and business teams
Experience working in Agile/Scrum delivery models
Nice to have
Experience with API testing tools such as Postman, Swagger, or SoapUI
Exposure to automation testing frameworks is a plus
Knowledge of Salesforce objects, workflows, and integrations
Familiarity with ETL/data pipeline validation is desirable