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 setting 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. Rest API: Proficiency in testing Rest APIs (no SOAP required). Architecture: Validating across apps and databases, not data warehouses. 4. Tools & Environment
Core Stack: JIRA, Git Hub, Confluence, and QMetry (primary test management tool). Ecosystem: Azure Dev Ops (ADO) familiarity is a major plus. Plus: Azure Synapse. If interested, please find your resume on sadiya.mankar@

📌 Data quality engineer (Madhya Pradesh)
🏢 Lean IT
📍 Madhya Pradesh