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Company: ACROSTAFF Jobs
Contact Name: DAVE
Address: Garnet way ,Sacramento , California 94203 - USA
Contact Phone: 2222755

Job Details: Data Warehouse Architect Date: Nov 25 2022

Job Reference: 10331
Job Category: IT Jobs [ View All IT Jobs Jobs ]
Company Type Employer
Employment type: Full Time
Salary: 150 /
Degree: Masters
Experience: 3 years
Location: Oakland Mills, Pennsylvania, 17076
Job Skills: Data Warehouse Architect
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Job Description

Client is seeking an exceptional DW Architect experienced in building Data warehouse and BI architecture on a multi-tenant SaaS platform.

The candidate must have a strong technical background with Micro Strategy, Informatica, data modeling and expertise in building large scale multi-tenant architectures suitable for Cloud hosted Analytics and Business intelligence applications.

Specific Responsibilities Include:

� Architecting and building Client�s SCI (Supply Chain Intelligence) solutions
� Provide a senior-level contribution to a team responsible for the design, development and implementation of critical enterprise scale applications on a multi- terabyte environment.
� Lead the development of a scalable data warehouse architecture for all of the SCI data assets, including single tenant operational data stores and multi-tenant Enterprise Data Warehouses
� Provide senior level contribution to orchestrate BI and ETL design and development of high quality BI applications and analytics
� Collaborate with engineers, Product/Project Managers and Quality Assurance engineers to develop multi-tier, multi-layered application layer framework and functional components, following coding, documentation and design standards
� Innovate, design and develop extensible and reusable applications to specification, for the enterprise suite
� Strong business and analytical skills
� Excellent communication and interpersonal skills

Experience with any of the following is a plus:

� Global supply chain and logistics domain
� Experience working on any of the big data platforms like Hadoop, Riak, Redis, MongoDB, etc
� Experience with the Agile software development methodology
� Experience in Java and J2EE technologies
� Familiarity with R
� Experience with Weblogic, Ping Identity, etc.

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