Data Quality Specialist

• Conduct structured interviews and workshops with data stewards and subject matter experts to elicit data quality expectations and business rules.
• Translate business requirements into technical specifications for data quality rule development.
• Maintain a centralized repository of data quality requirements, aligned with enterprise data governance standards.
• Develop and configure data quality rules ensuring alignment with business logic and metadata definitions.
• Perform unit testing and validation of data quality rules across various datasets and environments.
• Collaborate with data engineers to integrate data quality checks into ETL pipelines and data workflows.
• Set up automated monitoring dashboards to track data quality scores and trends across critical data assets.
• Investigate anomalies and data quality issues, performing root cause analysis and recommending corrective actions.
• Generate periodic reports and scorecards for stakeholders, highlighting key metrics and improvement areas.
• Design and deliver training sessions and documentation to help data stewards and business users interpret data quality scores.
• Provide hands-on support and coaching to users during onboarding and adoption of data quality tools.
• Foster a data quality culture by promoting awareness of data governance principles and best practices.

B.E/B.Tech in CS with 7 years of experience in related field

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