Data Quality Engineer

Position: Data Quality Engineer (9+ yrs exp)
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, Git Hub, Confluence, and QMetry (primary test management tool).
Ecosystem:
Azure Dev Ops (ADO) familiarity is a major plus.
Plus:
Azure Synapse.

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