Job Description :
The right candidate for this role will have:
Experience with performance & tuning techniques and their relationship to optimized data models,
playing a project team mentoring role in enterprise-wide data quality, business data stewardship, and data modeling project assignments, and in data modeling and design patterns, data flow diagramming, data warehousing, business
intelligence and the complexity in aligning a metadata management program.
Working knowledge of and how to apply within a data warehouse framework; an application and analytical
reporting environment, aligned tools and techniques, and a service oriented data delivery for near real-time reporting including advanced skills in software development methodologies and possesses the ability to disseminate them to a team.
Experience in the design and implementation of high volume, high available processing solutions as well as knowledge of n-tier architectures and complex data integration patterns.
Strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation while demonstrating a sense of urgency in completing tasks and resolving issues in order to deliver quality projects on time and within budget by using strong problem solving, time management and organizational skills.

Required Qualifications

Minimum of 5 years data warehousing
Minimum of 5 years with Oracle or Teradata
Minimum of 3 years of data modeling using ERWin, normalized, dimensional & semantic design expertise, DDL generation
Minimum of 3 years experience with n-tier platforms, data integration patterns and application data models using ERWin.

Preferred Qualifications
A general understanding of data movement hubs utilizing XML/XDS as oneof the many protocols.
Working knowledge of industry data warehouse tools including Informatica, Teradata, MicroStrategy, Oracle OBIEE