What are the responsibilities and job description for the Enterprise Data Modeler position at Caresoft?
Job Details
Title: Enterprise Data Modeler
Location: Richmond, VA 23219 (Hybrid)
Duration: Long Term
Location: Richmond, VA 23219 (Hybrid)
Duration: Long Term
Note: Candidate will be required to work ONSITE 2-3 days/week.
Skills Required:
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect.
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
Perform data profiling/analysis activities that helps to establish, modify and maintain data model.
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol.
Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect.
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
Perform data profiling/analysis activities that helps to establish, modify and maintain data model.
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol.
Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
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