Data Quality Engineer
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Key skills for this role
About the Role
Seeking an experienced Data Quality Engineer with 10+ years to design and maintain an enterprise-wide Data Quality Framework. The role involves developing automated dashboards, defining data quality rules, and collaborating with data owners to remediate issues.
Key Skills for This Role
Responsibilities
- Design, implement, and maintain the company's enterprise wide Data Quality Framework
- Develop and manage automated Data Quality Dashboards providing real time visibility into key KPIs
- Define, operationalize, and maintain comprehensive Data Quality Rules
- Collaborate with data owners and stewards to investigate and remediate data quality issues
- Conduct periodic Data Quality Assessments and prepare detailed evaluation reports
- Perform root cause analysis for recurring data quality issues and propose long term solutions
- Build automated data quality checks and data profiling routines using SQL, Python, and enterprise tools
- Partner with ETL/ELT, BI, and data engineering teams to embed data quality controls into data pipelines
Requirements
- 10+ years of experience in data quality engineering or related field
- Experience designing and implementing enterprise wide Data Quality Frameworks
- Proficiency in SQL and Python for building automated data quality checks
- Experience with data quality tools and dashboards
- Strong analytical and root cause analysis skills
Full Job Posting
Role Overview
- Seeking a Data Quality Engineer with 10+ years of experience to design and maintain an enterprise wide Data Quality Framework.
Key Responsibilities
- Design, implement, and maintain the company's enterprise wide Data Quality Framework.
- Develop and manage automated Data Quality Dashboards providing real time visibility into key KPIs.
- Define, operationalize, and maintain comprehensive Data Quality Rules.
- Collaborate with data owners and stewards to investigate and remediate data quality issues.
- Conduct periodic Data Quality Assessments and prepare detailed evaluation reports.
- Perform root cause analysis for recurring data quality issues and propose long term solutions.
- Build automated data quality checks and data profiling routines using SQL, Python, and enterprise tools.
- Partner with ETL/ELT, BI, and data engineering teams to embed data quality controls into data pipelines.
Qualifications
- 10+ years of experience in data quality engineering or related field.
- Experience designing and implementing enterprise wide Data Quality Frameworks.
- Proficiency in SQL and Python for building automated data quality checks.
- Experience with data quality tools and dashboards.
- Strong analytical and root cause analysis skills.
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