We are hiring a
Data QA Engineer
to support a leading global manufacturing client. This role is strictly focused on
Data Quality Assurance
—combining a strong QA mindset with deep data technical skills to validate complex manufacturing data flows end-to-end.
Key Responsibilities
- End-to-End Pipeline Validation:
Inspect data across raw-to-curated ETL/ELT layers for completeness, schema adherence, and accuracy.
- Test Automation:
Design and execute automated Python test suites to validate datasets at scale.
- Data Modeling & Verification:
Query and verify relational/dimensional models, aggregations, and business logic across query layers.
- Cross-Functional Testing:
Collaborate with Data Engineering and Product teams to create robust data test scenarios based on manufacturing logic.
Your Profile
Mandatory Requirements:
- Experience:
5–8 years overall experience, with 3+ years specifically in Data QA / Data Quality Engineering.
- Technical Stack:
Advanced SQL and Python (for data validation and test automation).
- Data Core:
Robust understanding of ETL/ELT pipelines, data modeling, and schema testing.
- Cloud Platform:
Hands-on experience with
Azure
and
Azure Databricks
.
- Work Schedule:
(
1:30 PM / 2:00 PM – 11:30 PM IST
).
- Fulltime Permanent employment- Remote
- Immediate joiner/Serving notice
period talents are pref