Data Quality Engineer
New
M
MediaRadarData Intelligence
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4–8 years
- Required Skills
- PythonSQLRESTful APIs
Requirements
- 4–8 years in data engineering, data quality engineering, analytics engineering, or a related field.
- Strong programming skills (e.g., Python, SQL) and experience building data pipelines or automation.
- Experience implementing automated data quality checks, testing, or monitoring frameworks.
- Familiarity with data quality dimensions and how to operationalize them in code.
- Comfort working with cloud data platforms, APIs, and governance/quality tooling.
- Ability to translate written rules and standards into executable logic.
- Strong communication skills and a collaborative, enablement-oriented mindset.
- Exposure to AI/ML-assisted classification and human-in-the-loop systems a plus.
Responsibilities
- Translate authored data rules and quality thresholds into automated, executable quality checks.
- Build and maintain data quality monitoring, alerting, and dashboards across governed datasets.
- Integrate quality checks into data pipelines, classification workflows, and governance tooling.
- Automate detection of rule conflicts, duplicates, and reference data anomalies at scale.
- Develop tooling that supports auditors, analysts, and stewards in their day-to-day work.
- Instrument human-in-the-loop workflows to capture validation outcomes and quality signals.
- Maintain reliable, performant data quality infrastructure and supporting data flows.
- Partner with Governance to make rules executable and to close gaps between definition and enforcement.
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