Data Quality / Data Governance Engineer
Royal Cyber Inc. Chennai, Tamil Nadu, India
IT Services and IT Consulting · 1,001-5,000 employees
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About the role
Develop a custom, Python-based data quality and governance framework to replace existing commercial tool dependencies. Implement rule-based validation logic for data records and route exceptions back to business stakeholders.
What they look for
Requirements
Requires strong Python engineering skills with a background in data quality, data modeling, and data warehousing. Candidates must have experience building custom governance frameworks from scratch and be available for a short-term engagement.
Full description
Data Quality / Data Governance Engineer Engagement: Short-term (a few months, not a year-long contract) — possible 1-month free trial period. What this role does: Builds a homegrown, Python-based data quality/governance framework — no commercial tool purchase (they already have Informatica but want to move away from tool dependency). Implements pre-MDM validation logic — e.g., rule-based checks like "SSN must be 9 digits," flagging records that don't conform, and routing exceptions back to business. Designs and tags data quality rules in a way that's reusable and framework-driven, similar to how their existing data pipelines were built. Ideal candidate profile: Strong Python engineering skills (not just a data engineer — ideally a data quality/data modeling + data warehouse engineer background). Experience building custom data validation/governance frameworks from scratch (vs. configuring an off-the-shelf tool like Informatica or Validator). Comfortable with a short-term, trial-based engagement to prove fit before scaling up.
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