Data Governance

A Data Quality Engineer ensures the accuracy, consistency, and reliability of data within an organization. They focus on measuring and monitoring data quality, using specialized tools and best practices to maintain data integrity. Their role involves identifying and resolving data quality issues and developing long-term solutions to prevent recurrence.
Collaboration and Support: They work closely with data stewards and consumers to promote high-quality data usage, assisting analysts by ensuring data reliability for accurate business intelligence.
Data Profiling and Analysis: Specialists conduct data profiling and analyze requirements to ensure data meets organizational needs, evaluating datasets for quality and accuracy.
Process Improvement: They implement process improvements to enhance data quality, ensuring adherence to standards and resolving data exceptions efficiently.
Technical Skills and Tools: Proficiency in data quality tools and technologies, including query languages like SQL, is essential for managing data quality.
Requirements:
Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field.
Extensive experience in data governance, data management, or related roles.
Strong understanding of data governance principles, frameworks, and best practices.
Familiarity with regulatory requirements and industry standards related to data privacy and security.
Excellent leadership, communication, and stakeholder management skills.
Ability to influence and drive change in a complex organizational environment
Certification in data governance or related areas (e.g., DM-BOK, CDMP, etc.) is a plus