•Data Quality Assurance
•- Validate scraped data against the source website and client requirements.
•Verify field-level accuracy, completeness, consistency, and data types.
•Identify missing fields, incorrect values, duplicate records, and formatting issues.
•Validate product details, pricing, availability, URLs, identifiers, and other relevant attributes.
•Sample and Deliverable Validation
•- Review sample files before they are marked as QA-passed or submitted to clients.
•Ensure that the output structure, column names, file naming conventions, and data formats match the specified requirements.
•Validate samples against the approved requirements and reference examples.
•Maintain evidence of validation and document any defects identified.
•API Testing
•- Validate API requests and responses, including HTTP status codes, response structures, required fields, and error handling.
•Verify JSON, CSV, Excel, and other required output formats.
•Test pagination, filtering, and relevant request parameters wherever applicable.
•Use Postman or similar tools for API validation.
•Defect Management and RCA
•- Report defects with clear descriptions, sample records, screenshots, and reproduction steps.
•Coordinate with developers and TLs/ATLs for defect resolution and retesting.
•Identify recurring quality issues and contribute to Root Cause Analysis (RCA).
•Maintain defect logs and track issues until closure.
•Quality Process Improvement
•- Develop and maintain QA checklists for different projects and platforms.
•Identify opportunities to automate repetitive validation tasks using Python.
•Track quality metrics, including defect rates, first-pass acceptance, rework, and sample rejection trends.
•Recommend improvements to reduce recurring errors and improve delivery reliability.
Required Skills
•- Strong analytical and problem-solving skills.
•Experience in manual testing, data validation, or software QA.
•Basic to intermediate Python knowledge for data validation and automation.
•Experience working with JSON, CSV, Excel, and structured datasets.
•Understanding of REST APIs, HTTP methods, status codes, and response validation.
•Familiarity with Postman, Excel, and basic SQL/MongoDB queries.
•Excellent attention to detail and documentation skills.
