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 & Setting
- 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 [email protected]

📌 Data Quality Engineer (India)
🏢 Lean IT
📍 India