Enterprise Data Modeler

Overview

Hybrid
$70 - $80
Accepts corp to corp applications
Contract - W2
Contract - Independent
Able to Provide Sponsorship

Skills

Business Rules
Capacity Management
Data Deduplication
Data Modeling
Data Profiling
Data Quality
Feasibility Study
Master Data Management
Meta-data Management
Mobile Device Management
Modeling
SOA
System Integration

Job Details

Position Title: Enterprise Data Modeler
Location: Richmond, VA (Local candidates Only)
Position Type: hybrid (Contract)
Interview Process: First Video Than In Person

Skills Required

  • Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. Required 10 Years
  • Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. Required 10 Years
  • Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect th Required 10 Years
  • Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. Required 10 Years
  • Perform data profiling/analysis activities that helps to establish, modify and maintain data model Required 10 Years
  • Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. Required 10 Years
  • Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol Required 10 Years
  • Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables. Required 10 Years
  • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity Required 10 Years
  • Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. Required 10 Years
  • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Required 10 Years
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