Need submissions for Enterprise Data Modeler, Richmond, VA, Hybrid

Dear Partner, Good Morning , GreetingsfromNukasanigroupInc!,Wehavebelowurgentlongtermcontractprojectimmediatelyavailable for***Enterprise Data Modeler, Richmond, VA, Hybrid**** need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly appreciated.Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you. **Candidate Submission Format - needed from you** Full Legal Name Personal Cell No ( Not google phone number) Email Id Skype Id Interview Availability Availability to start, if selected Current Location Open to Relocate Work Authorization Total Relevant Experience Education./ Year of graduation University Name, Location Last 4 digits of SSN Country of Birth Contractor Type DOB: mm/dd Home Zip Code Assigned Job Details **Job Title : Enterprise Data Modeler** **Location: Richmond, VA, Hybrid** **Rate : Best competitive rate** *local Richmond, VA candidates required *candidate will be required to interview ONSITE, NO exceptions *candidate will be required to work ONSITE 2-3 days/wk *the contract may be extended annually beyond June 30, 2025 *Contractor will be responsible for purchasing parking through VDOT's Parking Management Office or procuring their own parking Job Description: Enterprise Data Modeler The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows . Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata. Responsibilities: •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 the physical data model. •Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. •Perform data profiling/analysis activities that helps to establish, modify and maintain data model. •Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. •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 solution 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 strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.•Ensure that data strategies and architectures are in regulatory compliance. •Good knowledge of applicable data privacy practices and laws. •Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language. •Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks Skill Required / Desired Amount of Experience Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.Required10Years Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.Required10Years Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect thRequired10Years Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.Required10Years Perform data profiling/analysis activities that helps to establish, modify and maintain data modelRequired10Years Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.Required10Years Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solRequired10Years Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.Required10Years •Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validityRequired10Years Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.Required10Years Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.Required10Years Thanks and Regards Nancy| Talent acquisition| Nukasani Group | 1001 E Chicago Ave, Unit B 111, Naperville IL 60540. Email: recruiter5@nukasanigroup.com| Direct: |16303393525| People, Process, Technology Integrator. An E-Verified Company.