Employer Login
Login
Login:
Password:
 

Arthur Lawrence
Arthur Lawrence is a management and technology firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost effective solutions. Our Big 5 background and Fortune 500 experience enables organizations to leverage our industry knowledge in developing an ERP strategy along with imaginative and visionary solutions that best suit the needs of our customers.

Hadoop Architect


Job Code: BHJOB5917_2118
Location: Denver, CO
Duration: 12 Months+
Job Type: Contract - Corp-to-Corp
Payrate: Open All Inclusive
Skills: Hive, Spark, Hbase, Accumulo , Java, Scala, kafka
   


Embedded image permalink


Share on Email

Job Description:

Arthur Lawrence is urgently looking for Hadoop Architect for one of our client in Denver, CO.Please see the requirement below and reply at your earliest with the updated resume and contact information.

Hadoop Architect

  • Understanding various Big data technologies like Hive, Spark, Hbase, Accumulo , Java, Scala, kafka
  • Integrating technologies for optimum speed of ingestion and driving solutions on Big data platform
  • Hands on experience on coding them and giving demonstration on how they work.
  • Coordinating review on performance and making suggestions on improvement where ever possible
  • To be able to document use cases, solutions and recommendations;
  • Perform architecture design, data modeling, and implementation of Big Data platform and analytic applications for Huawei consumer products.
  • Analyze latest technologies and their innovative applications in both business intelligence analysis and new service offerings. Bring these insights and best practices to Huawei's global consumer business.
  • Apply deep learning capability to improve understanding of user behavior and data
  • Develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
  • Develop utilities to monitor cluster better
  • To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them;
  • Manage large clusters with huge volumes of data
  • Help architect and develop big data solutions streaming/batch using Hadoop technologies.

 

 

   
Latest Jobs
Register Now for Arthur Lawrence Newsletters to stay up to date.