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Hadoop Administrator
Ref No.: 18-60042
Location: Pleasanton, California
Position Type:Contract
Start Date: 08/17/2018
Role: Hadoop Administrator
Location: Pleasanton, CA
Long Term Contract (no visa restriction) or Fulltime/ Permanent Employment (both option available)

Technical/Functional Skills
4+ years of professional experience working with Hadoop stack Preferably with Cloudera CDH
5 years of professional experience supporting production Linux environment
3-5 years of scripting languages Preferable python or bash

Experience Required
Expert knowledge of Hadoop design principals, cluster connectivity, security and the factors that affect distributed system performance
Advanced hands-on Linux skill is a must. Understanding of shell, debugging things etc
The candidate should be able to get their way around Linux and get things to work
Experience with performance tuning, capacity planning, and workload mapping
Experience with handling job queues for multi-tenant environment with different level of priorities and SLAs
Experience with complex networking infrastructure including firewalls, VLANs, and load balancers

Roles & Responsibilities
1. Manage large scale Hadoop cluster environments, handling all Hadoop environment builds, including design, capacity planning, cluster setup, performance tuning and monitoring
2. Experience in using automation tool such as Puppet and Chef. Experience working on NoSQL and Search technologies
3. Knowledge of best practices related to security, performance, and disaster recovery
4. Experience in Healthcare is a plus
5. Implement automated approaches for system administration and operation tasks, provisioning new servers and deployment of artifacts for multiple applications
6. Evaluate and recommend systems software and hardware for the Big Data enterprise system
7. Contribute to the evolving architecture of our Big Data services to meet changing requirements for scaling, reliability, performance, manageability, and price
8. Develop metrics and measures of utilization and performance
9. Manage cluster resource to meet application jobs' SLAs