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Data Quality Specialist
hace 3 meses
We are looking for a highly skilled and detail-oriented Data Quality Specialist to join our team.
The perfect candidate will have expertise in Identity Management (IDM), Comprehensive Data Quality (CDQ), and proficiency in Python programming language.
The main role of this position is to ensure the accuracy, completeness, and consistency of our organization's data assets by implementing data quality processes and solutions.
RESPONSIBILITIES
- Uses best practices and tools to analyze and measure data quality and develop action plans to ensure data reliability, completeness, and consistency.
- Develop detailed action plans based on data quality assessments to improve data reliability, completeness, and consistency. These plans may involve implementing data cleansing procedures, establishing data quality rules and standards, enhancing data entry processes, and improving data validation mechanisms.
- Works closely with cross-functional teams, including data stewards, data engineers, and business analysts, to effectively implement data quality improvement initiatives. This includes promoting a culture of data quality awareness and accountability throughout the organization.
- Monitors and evaluates the effectiveness of implemented data quality measures over time, using key performance indicators (KPIs) and metrics to track progress and identify areas for enhancement.
REQUIRED SKILLS
- Bachelor of Science in Engineering education.
- Advanced Knowledge of the English language.
- 2+ years of experience.
- Must have IDMC/CDQ (Integrated Data Management Console and Customer Data Quality), Python, and ADF (Azure Data Factory) experience, to support RMA projects.
- Should possess strong problem-solving skills, extreme attention to detail, excellent analytical and critical thinking abilities, and the capacity to handle large datasets. Familiarity with data analysis is essential.
- Hands-on experience with Data Quality principles for delivering high-quality data assets.
- Proficiency in Data Quality tools.
- Experience in identifying and resolving Data Quality issues.
- Knowledge of data profiling and data integration tools.
