Job Title: Data Quality Consultant
Job Description:
Position Overview: We are looking for a junior to mid-level Data Quality Consultant to join our team. The ideal candidate will have 1-3 years of experience in data quality, data cataloging, and some experience with APIs. This role involves migrating from Global IDs into Ataccama for data quality solutions. The candidate should be detail-oriented, have a strong understanding of data management practices, and be capable of working collaboratively with various teams.
Key Responsibilities:
- Implement and manage data quality solutions using Ataccama.
- Migrate from Global IDs into Ataccama for data quality solutions.
- Develop, maintain, and enhance data quality rules and processes.
- Collaborate with data stewards, data owners, and other stakeholders to ensure data quality standards are met.
- Integrate data quality solutions with APIs and other data management tools.
- Assist in the creation and maintenance of a data catalog to ensure data assets are well-documented and accessible.
- Monitor and report on data quality metrics and issues.
- Perform data profiling, data cleansing, and data enrichment activities.
- Provide support and training to business users on data quality best practices.
- Stay current with industry trends and best practices in data quality and data management.
Required Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 1-3 years of experience in data quality, data management, or a related field.
- Experience with Ataccama or similar data quality tools.
- Familiarity with data quality migration from one DQ tool to another.
- Some experience with APIs and integrating data quality solutions.
- Knowledge of data cataloging practices and tools.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience in a consulting role or working with multiple clients.
- Knowledge of additional data management tools and technologies.
- Professional certifications in data quality or data management (e.g., DAMA, CDMP) are a plus.
