Data quality engineer (9+ yrs of experience)

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. 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@