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.
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