Hadoop Administration (Austin, TX, Charlotte, NC, Chicago, IL, Cincinnati, OH, Cupertino, CA, Foster City, CA, Houston, TX, San Jose, CA, Sunnyvale, CA, Tampa, FL)

We are seeking a Hadoop Administration professional with at least 2 years of experience in implementing and administering Hadoop infrastructure. The ideal candidate will have a strong understanding of Hadoop, MapReduce, HBase, Hive, Pig, and Mahout, as well as experience working with Cloudera Manager or Ambari, Ganglia, and Nagios.

Requirements

• At least 2 years of experience in Implementation and Administration of Hadoop infrastructure
• At least 2 years of experience in Project life cycle activities on development and maintenance projects
• Operational expertise in troubleshooting, understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks
• Hadoop, MapReduce, HBase, Hive, Pig, Mahout
• Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios
• Experience in using Hadoop Schedulers - FIFO, Fair Scheduler, Capacity Scheduler
• Experience in Job Schedule Management - Oozie or Enterprise Schedulers like Control-M, Tivoli
• Good knowledge of Linux
• Exposure to setting up Ad/LDAP/Kerberos Authentication models
• Familiarity with open source configuration management and deployment tools such as Puppet or Chef and Linux scripting, Autosys
• Experience in Shell and Perl scripting and exposure to Python
• Knowledge of Troubleshooting Core Java Applications is a plus
• Exposure to Real-time Execution engines like Spark, Storm, Kafka
• Version control Management tools: Subversion or Clearcase or CVS, Github
• Experience in Service Management Ticketing tools - ServiceNow, Service Manager, Remedy