Data Quality Engineer (9+ years experience)
Lean IT Inc.
Job Title: Data Quality Engineer Years of Experience: 8+ Mode: Remote Hire Mode: Contract Shift 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 Context SQL 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 Validation ETL 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 & Environment Core 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 sadiya.ma
Vacancy posted 17 days ago
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