Data Quality Engineer (9+ years experience)

Job Title: Data Quality EngineerYears of Experience: 8+Mode: RemoteHire Mode: ContractShift Timing :Shift Timing: 2:00 AM – 10:00 AM PST / 3:30 PM – 11:30 PM IST (Strict PST morning overlap required)Job Description:Ramp-up Time: Zero. Candidates must be able to understand complex data flows and multi-app connectivity immediately.Technical Breakdown (The /"Must-Haves/")1. Manual & Data-Centric Testing (No Automation)Manual Regression: 100% focus on manual testing and regression. There is little to no automation in this project.Test Case Management: Responsible for taking existing test cases and redefining them to fit the rebranded environment across all 10 applications.Integration Testing: Validating data movement between multiple applications and databases—this is the core of the role.2. Advanced SQL with Business ContextSQL Server: The primary database environment.Querying Proficiency: Must write complex queries (Joins, Unions, etc.) for validation across databases.Critical Requirement: Candidates must not just write the query; they must understand the /"Why/"—interpreting what the data means for the business and the purpose of the validation in the context of the rebranding.3. ETL & API ValidationETL Background: Required experience in ETL testing from a QA perspective to validate data transformation during integration.RestAPI: Proficiency in testing RestAPIs (no SOAP required).Architecture: Validating across apps and databases, not data warehouses.4. Tools & EnvironmentCore Stack: JIRA, GitHub, Confluence, and QMetry (primary test management tool).Ecosystem: Azure DevOps (ADO) familiarity is a major plus.Plus: Azure Synapse.If interested, share your resume on

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