Senior Data Modeler

Short Description

About Capgemini                                                                         
With almost 200,000 people in over 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2017 global revenues of USD 15.78 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model. Learn more about us at http://www.capgemini.comRightshore ® is a trademark belonging to Capgemini 
 

Sr Data Modeler

Location – Charlotte, NC

Duration Fulltime

Qualifications

  • 8 10 years of experience in financial services with mandatory experience in Capital Markets data Data Lake and Big Data modeling experience
  • Data Modeling Data Warehousing Dimensional Modeling Data Modeling for Big data and Metadata Management
  • Experience building and optimizing big data data pipelines architectures and data sets
  • Experience with Hadoop Spark and Kafka Experience with ORACLE and NoSQL databases Effective and professional verbal and written communication

Responsibilities

  • Conducts data requirements assessment and design sessions with customers Works with analysts to establish clearly defined business requirements
  • Works with data suppliers to establish input and interface specifications
  • Performs data analysis for source system data
  • Creates conceptual logical and physical models for banking data lake implementations
  • Designs and manages data models in data modeling product Data Modeling Data Warehousing
  • Dimensional Modeling Data Modeling for Big data and Metadata Management Data Lake and Big Data modeling experience
  • Designs time variant models that support both point in time historical and current state analysis
  • Develops the approach for the implementation of Data Management lifecycle components examples include conformance with reference architecture metadata strategy data lake strategy data classification programs data quality
  • Experience building and optimizing big data data pipelines architectures and data sets
  • Experience with Hadoop Spark and Kafka Experience with ORACLE and NoSQL databases Domain Experience in Capital Markets data domain

Ref:

257659

Posted on:

December 13, 2018

Experience level:

Experienced (non-manager)

Education level:

Bachelor's degree or equivalent

Contract type:

Permanent Full Time (us-en)

Department:

Financial Services

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