Senior Data Modeler
3B Staffing LLC, Mc Lean, VA, United States
Senior Data Modeler
Freddie Mac
Location: Role is on-site at McLean VA office 5 days/week
local candidates only. Final interview will be onsite
Rate = $58-63/hr. on C2C
Visa: USC or Green Card
About the team:
Capco Technology specializes in advisory, implementation, and delivery of client-centered solutions across the Financial Services, Energy, and Insurance industries. We support modern platform implementations, product innovation, digital transformations, end-to-end IT delivery embedded with DevOps practices and service-oriented architecture, omni-channel standardization, cloud-based data management, predictive data analytics. Working in collaboration with our digital team and industry domain practices, we advise clients with solution offerings to leverage technology to deliver efficiency, optimization, and end-customer satisfaction.
About the Job:
As a member of the Capco Technology Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As a Senior Data Modeler, you'll use your experience and skills to contribute to the quality and implementation of our software products for our customers.
What You'll Get to Do:
Perform hands-on Data Modelling, adoption of modern software engineering & delivery practices
Will work on building Logical and Conceptual Data Model
Will work on Ontological Modelling
Will have to gather and Publish Data Dictionaries:
Will maintain data models in data modelling environments.
Will capture data models from existing databases, and record descriptive information into them
Will have to publish existing conceptual and logical models in HTML or other browsable format for wider consumption and sharing
Identify business needs, organize and define data, create and maintain Conceptual, Logical and Physical data models
Maintain appropriate Version Control on data models
Participate in the de-normalization of the data model, ensuring that business rules which are impacted during de-normalization are implemented via an alternate mechanism (i.e. trigger, application code).
Closely work with the App Dev team and DBA to create an appropriate Conceptual, Logical and Physical Data Model
Present data designs and project approaches to the Data Review Board (DRB) for review and approval, and ensure all DRB artifacts are created with clients
Generate DDL and validate that the DDL is implemented properly
Identify opportunities to reuse data and reduce redundancy in data across the enterprise
What You'll Bring with You:
5+ Years of experience building Logical and Conceptual Data Model.
Strong knowledge of Ontological Modelling
Mortgage Lending experience is a must.
Must have knowledge of Industry Ontology models such as BIAN,FIBO, MISMO
Understanding of architecture and design across all systems
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Working proficiency in developmental toolsets
Knowledge of industry wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture
Freddie Mac
Location: Role is on-site at McLean VA office 5 days/week
local candidates only. Final interview will be onsite
Rate = $58-63/hr. on C2C
Visa: USC or Green Card
About the team:
Capco Technology specializes in advisory, implementation, and delivery of client-centered solutions across the Financial Services, Energy, and Insurance industries. We support modern platform implementations, product innovation, digital transformations, end-to-end IT delivery embedded with DevOps practices and service-oriented architecture, omni-channel standardization, cloud-based data management, predictive data analytics. Working in collaboration with our digital team and industry domain practices, we advise clients with solution offerings to leverage technology to deliver efficiency, optimization, and end-customer satisfaction.
About the Job:
As a member of the Capco Technology Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As a Senior Data Modeler, you'll use your experience and skills to contribute to the quality and implementation of our software products for our customers.
What You'll Get to Do:
Perform hands-on Data Modelling, adoption of modern software engineering & delivery practices
Will work on building Logical and Conceptual Data Model
Will work on Ontological Modelling
Will have to gather and Publish Data Dictionaries:
Will maintain data models in data modelling environments.
Will capture data models from existing databases, and record descriptive information into them
Will have to publish existing conceptual and logical models in HTML or other browsable format for wider consumption and sharing
Identify business needs, organize and define data, create and maintain Conceptual, Logical and Physical data models
Maintain appropriate Version Control on data models
Participate in the de-normalization of the data model, ensuring that business rules which are impacted during de-normalization are implemented via an alternate mechanism (i.e. trigger, application code).
Closely work with the App Dev team and DBA to create an appropriate Conceptual, Logical and Physical Data Model
Present data designs and project approaches to the Data Review Board (DRB) for review and approval, and ensure all DRB artifacts are created with clients
Generate DDL and validate that the DDL is implemented properly
Identify opportunities to reuse data and reduce redundancy in data across the enterprise
What You'll Bring with You:
5+ Years of experience building Logical and Conceptual Data Model.
Strong knowledge of Ontological Modelling
Mortgage Lending experience is a must.
Must have knowledge of Industry Ontology models such as BIAN,FIBO, MISMO
Understanding of architecture and design across all systems
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Working proficiency in developmental toolsets
Knowledge of industry wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture