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*PLEASE SEND ME THE RESUME ASAP AT *
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[email protected]



Position                                  :   Data Modeler/Architect


Location                                 :   Portland, OR



Duration                                 :   6+ months





QUALIFICATIONS AND SKILLS REQUIRED:



Ø  5+ years - Data Architecture / Modeling experience; delivering both
logical models and physical designs with extensive experience with
translating business needs into data requirements



Ø  A degree in Computer Science, a related discipline, equivalent work
experience of 7+ years overall IT or the equivalent combination of
education, training and experience from which comparable skills can be
acquired



Ø  At least 3-5 years  experience with data modeling tools like ERwin, ER
Studio, PowerDesigner, Oracle Designer and/or other modeling tools



Ø  Experience with normalized OLTP,MDM  and DW Dimensional modeling
techniques, Star & Snowflake schemas, modeling slowly changing dimensions
and role playing dimensions, dimensional hierarchies, and data
classification



Ø  Experience with maintaining data dictionary and managing technical,
process, and business metadata



Ø  Experience in data modeling in a Freight Forwarding or logistics or
similar industry is preferred.







ROLE AND RESPONSIBILITIES

 Ø  Data modeling and architecture experience implementing proper data
structures for a reporting solution from enterprise OLTP systems

Ø  Dimensional modeling and architecture experience implementing proper data
structures for a reporting solution from an enterprise data warehouse a must
using tools such as Cognos, Microsoft, and/or other BI tools

Ø  Maintain and version control data modeling repositories

Ø  Responsible for detail Data analysis and translates Business requirements
into logical  & physical data model.

Ø  Works closely with the DBA to help insure the physical design meets the
functional and performance requirements of the application.

Ø  Experience re-engineering physical data structures, and recommends
efficiencies as it relates to data storage and retrieval

Ø  Full understanding and experience in implementing a data warehouse is a
plus

Ø  Full life cycle experience in Data Warehousing (good understanding of
Kimball & Inmon methodologies), Data Modeling, Data Integration, and Master
Data Management

Ø  Leads complex technical data warehouse discussions on modeling,
integration, and overall technology solutions and design

Ø  Ability to create robust, scalable, sustainable data architecture that
supports requirements and provides for expansion given budgetary constraints
and availability of data and skilled resources

Ø  Excellent communication (written and verbal).

Ø  May require some travel (20%)  to gather business requirements







Thanks/Regards,

 AMAN SINGH

|| IT-SCIENT || Phone: 510.972.5240 || Fax: 877.701.4872 || Email:
[email protected] || Web: www.itscient.com ||




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