Sr. MDM Developer

Required Skills: Data Quality Functional, Data Integration, Reltio Data Quality Module, Reltio Reference Data Management (RDM), Reltio MDM, MDM Functional, MDM Architect 

Responsibilities:

• Lead Reltio data projects from inception to completion, ensuring timely delivery and quality outcomes.
• Oversee the integration of various data sources to create comprehensive geospatial datasets.
• Provide expertise in data quality functional to maintain high standards of data accuracy and reliability.
• Implement and manage Reltio Data Quality Module to enhance data quality processes.
• Utilize Reltio Reference Data Management (RDM) to standardize and manage reference data.
• Apply Reltio MDM solutions to manage and maintain master data effectively.
• Collaborate with cross-functional teams to ensure seamless data integration and project execution.
• Develop and enforce data governance policies to ensure data integrity and compliance.
• Conduct regular data quality assessments and implement corrective actions as needed.
• Train and mentor team members on best practices in data management and geospatial technologies.
• Provide technical guidance and support to stakeholders on geospatial data-related issues.
• Monitor and report on project progress, addressing any issues that arise promptly.
• Stay updated with the latest trends and technologies in geospatial data management.

Qualifications:

• Possess extensive experience in data quality functional, ensuring high standards of data accuracy.
• Have a strong background in data integration, enabling seamless integration of various data sources.
• Demonstrate expertise in Reltio Data Quality Module to enhance data quality processes.
• Show proficiency in Reltio Reference Data Management (RDM) for standardizing and managing reference data.
• Exhibit strong knowledge of Reltio MDM solutions for effective master data management.
• Have a solid understanding of MDM functional and MDM architecture principles.
• Possess excellent project management skills to lead and oversee geospatial data projects.
• Demonstrate strong analytical and problem-solving skills to address data-related issues.
• Have excellent communication and collaboration skills to work effectively with cross-functional teams.
• Show a commitment to continuous learning and staying updated with industry trends.
• Possess the ability to train and mentor team members on best practices.
• Exhibit strong organizational skills to manage multiple projects and priorities.
• Have a proactive approach to identifying and addressing data quality issues.