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Data Modeler

ricefw technologies
Washington, DC
Closing date
Nov 27, 2022

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Founded by a team of young, dynamic and task-oriented IT professionals, RICEFW brings a pragmatic approach with proven, real-world solutions to the challenging field of technology and IT personnel placement. We strive to partner clients and staffing talent with similar goals, aims and achievements so that the equilibrium is maintained at the workplace. We are an End to End IT Solutions provider with extensive experience in Business Consulting, IT Integration, Project Management and Staff Augmentation. Our strength lies in leveraging innovation and a global onsiteoffshore delivery model to provide best Return on Investments (ROI) for our clients. Job Description Seeking candidates currently living in and around Washington DC. Client will hire over phone and Skype but local candidates preferred! Essential Job Functions: Select the appropriate data types and sizes for the new fields added to the system data model Document the data model enhancements in a standard document. Develop data mappings for reports, to correlate data elements on reports to tables/fields in the underlying physical data model Create high-level process models (activity hierarchy diagrams, data flow diagrams, workflow diagrams, system interface diagrams) to represent business processes for the area under analysis 4 Education: 4 years technical degree , preferably in Math, or Computer Science/Engineering Minimum. 4 years of hands-on data modeling expertise for relational databases both for logical and physical data models including detailed knowledge of normalization techniques, forward-engineering and reverse-engineering techniques. Experience with ERWIN (3.5 and 4.1) min. 3 years Qualifications Required Skills/Abilities: Familiarity with Oracle 8.x/9.x. database constructs and PL/SQL.. Excellent communication and facilitation skills. Ability to juggle multiple tasks in a fast-paced environment. Desired Skills/Abilities (not required but a plus ) Required Skills Solutions Architecting and Data Modeling Additional Information All your information will be kept confidential according to EEO guidelines.

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