wwwLathaHR.com Data Modeler (10+ years exp)||Newark, NJ (PA, NJ, DE, NY, VA, DC ONLY)||F2F

Data Modeler

Client:  Horizon Blue Cross Blue Shield

Duration:  1 year+

Location:  Newark, NJ (PA, NJ, DE, NY, VA, DC ONLY)

Need candidates from above locations only and they must be able to do F2F in Newark, NJ

 

 

Summary: A data modeler builds data models that describe data and its relationships in a

consistent way to support business and technical objectives.

 

Qualifications: Qualifications

Education/Experience

- Requires Bachelor's degree from an accredited college or university,

preferably in Computer Science, Information Systems, or related field.

- 10+ Years of experience in Data Modeling (Conceptual, Logical and Physical).

Must be able to design and explain using entities, attributes, hierarchies,

inheritance, relationships and their associated meta data. Must be familiar

with master data concepts such as Party, Product, Location, Agreement as well

as patterns such as Data Vault

- 5+ Years of Healthcare experience (Preferably at an Insurance Carrier)

-3+ Years of experience in designing XML Schemas and functional mapping

specifications for enterprise data services

- 3 years of experience with data modeling. Usually data modelers will have

focused on modeling for transactional or analytic systems, which require

distinct approaches.

- Experience in transactional and operational, analytical, and MDM modeling

techniques.

- Experience with Data Governance processes

Additional Licensing, Certifications, Registrations

Knowledge

- Knowledge of database management system (DBMS) physical implementation,

including tables, joins and views.

- Understanding of dimensional modeling, snowflakes, slowly changing

 

Responsibilities: 1.Understand, define and structure how data relates to business operations and

capabilities through an enterprise data model.

2.Analyze business requirements and functional specifications as a guide to

data modeling.

3.Choose a suitable data modeling approach for each project, such as by

assessing the suitability of existing data models.

4.Build data models with the flexibility to change when business requirements

change.

5.Reconcile multiple logical source models into a single, logically consistent

model.

6.Ensure the proposed model follows data architecture guidelines and best

practices.

7.Rationalize the relationships expressed in the logical data model to the

schema of the physical data store (that is, database tables and columns).

8.Develop data modeling best practices, guidelines and standards for Data

Architecture COE.

 

 

Regards,
Meenu Yadav

IT-Technical Recruiter
Source Infotech Inc.
3840 Park Avenue, Suite C-205, Edison, NJ-08820

Phone#: 609-608-0466|| Fax: 732-909-2282 || Email: myadav@sourceinfotech.com

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