Hadoop Consultant
Whamcloud - Danville, CA

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This is a 6 month-1 year 1099 contract position working on a research project partnering with Lawrence Livermore National Laboratory to benchmark MapReduce performance when running on Lustre.
Primary Duties / Responsibilities

Will Modify a MapReduce implementation to be aware of data placement in a Lustre filesystem.

Devise data placement algorithms to optimize MapReduce performance when running on a Luster filesystem instead of HDFS.

Benchmark MapReduce performance in a variety of configurations on Lustre.

Write a research paper documenting the configurations and performance results.

Qualifications (Knowledge, Skills, Abilities)

Candidate must have expertise with







Requirements (Education, Certification, Training, and Experience)

Minimum Education: BS Degree in CS/CE prefer: MS or PhD in CS, CE or Parallel File Systems

Demonstrated experience in writing scientific research documentation

US Citizenship is Required

Candidate must be based in the US

Physical Demands / Work Environment

Ability and desire to work as part of a geographically-distributed team