Data Quality Expert
Skills
About This Role
Overview
We are seeking a highly skilled Data Quality Specialist responsible for ensuring the accuracy, consistency, integrity, and reliability of enterprise data across systems and platforms.
The ideal candidate must have strong hands-on experience with Azure Data Factory (ADF) and Azure Databricks, along with expertise in Data Quality frameworks, ETL processes, and data governance practices.
The candidate should possess strong SQL skills, experience working in modern cloud data ecosystems, and exposure to enterprise data quality and governance tools.
Key Responsibilities
- Collaborate with cross-functional teams to establish and enforce enterprise data quality standards and best practices.
- Use SQL to extract, analyze, profile, and validate data to identify inconsistencies, anomalies, and quality issues.
- Design, develop, and maintain data quality rules, validation frameworks, monitoring processes, and reconciliation mechanisms.
- Build and support ETL/data integration workflows using Azure Data Factory (ADF) and Azure Databricks.
- Perform root cause analysis for data quality issues and implement corrective and preventive actions.
- Work closely with Data Engineering, Analytics, and Business teams to ensure high-quality, trusted data availability.
- Support metadata management, data lineage tracking, and data governance initiatives.
- Develop and maintain data quality dashboards, KPIs, scorecards, and reporting mechanisms.
- Assist in data mapping, data inventory management, and documentation of operational processes.
- Ensure adherence to data governance policies and enterprise data management standards.
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