Data Engineer – Validation & Quality
Responsibilities
- Build rule-based and statistical validation frameworks using Pandas / NumPy.
- Implement contradiction detection, reconciliation, and anomaly flagging.
- Design and compute confidence metrics for each evidence record.
- Automate schema compliance, sampling, and checksum verification across data sources.
- Collaborate with the Kernel to embed validation results into every output artifact.
Requirements
- 5 + years in data engineering, data quality, or MLOps validation.
- Strong SQL optimization and ETL background.
- Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).
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About RattanIndia ltd.
For Details visit: http://www.rattanindia.com">www.rattanindia.com
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