What are the responsibilities and job description for the Data Modeler position at Lucid Technologies, Inc?
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At Lucid Technologies, we connect exceptional talent with leading organizations to help individuals and businesses thrive. With over 25 years of experience in technology staffing and services, we’ve built a reputation for excellence and trust. Through initiatives like ProjectHER, we’re also dedicated to creating opportunities for underrepresented groups, empowering a more diverse and inclusive tech industry.
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About the Job
We are hiring for a Data Modeler role on behalf of our client. This is a Contract position with the client, offering an excellent opportunity to work on impactful projects with a talented team.
Job Details:
- Position: Data Modeler
- Location: Richmond, VA (Locals Only)
- Work Setup: Hybrid
Role Overview:
Create conceptual data models 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 the team. Required 10 Years
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the 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 a 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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- Expert Guidance: A team that understands your skills and aspirations to match you with the right opportunities.
- Comprehensive Support: End-to-end assistance throughout the hiring process to ensure a seamless experience.
Take the next step in your career today. Apply now and let us help you find your perfect match.
