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Need Submission details for Enterprise Data Modeler, Richmond, VA, Hybrid at Richmond, Virginia, USA
Email: [email protected]
From:

Nancy,

nukasanigroup

[email protected]

Reply to:   [email protected]

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

*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 VDOTs Parking Management Office or procuring their own parking

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

Skills:

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

Thanks and Regards

Nancy| Talent acquisition| Nukasani Group |

1001 E Chicago Ave, Unit B 111, Naperville IL 60540.

Email: 

[email protected]

| Direct: |

16303393525

|

People, Process, Technology Integrator.

An E-Verified Company.

Keywords: materials management rlang Idaho Illinois Virginia
Need Submission details for Enterprise Data Modeler, Richmond, VA, Hybrid
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Wed Jul 31 17:57:00 UTC 2024

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