Job Description :

Hope you are doing well.

Please find the job description below and let me know your interest.

Position: Sr. Hadoop Administrator
Location: Bartlesville, OK
Duration: 6+ months

Mode Of Interview: Phone and Skype

Job Description:

Big Data tools: HBase, Hive, Phoenix, Ranger other services in Ambari.
Shell Scripting : Bash, Perl, Python

Desired / Plus:
Streaming experience (Nifi, Kafka, Storm, Spark, Solr, etc
NoSQL experience (HBase, Cassandra, MongoDB, etc 
Advanced knowledge in Linux including shell scripting.
ODBC/JDBC with various clients like Spotfire, BOBJ, Tableau etc

Experience installing, upgrading, configuring, and maintaining a Hadoop cluster. 
Responsible for implementation and ongoing administration of Hadoop infrastructure of some or all of the big data systems 
Cluster maintenance as well as creation and removal of nodes. 
HDFS support and maintenance. 
Setup security using Kerberos and AD on Hortonworks clusters. 
Setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users. 
Automate operations, installation and monitoring of the Hadoop Framework specifically: HDFS, Map/Reduce, Yarn, HBase. 
Automate the setup of Hadoop Clusters 
Ability to write, debug, and maintain automation scripts / jobs 
Continuous evaluation of Hadoop infrastructure requirements and design/deploy solutions (high availability, big data clusters, etc) 
Cluster Monitoring and Troubleshooting 
Manage and review Hadoop log files 
Works with application teams to install operating system and Hadoop updates, patches, version upgrades as required 
On-Call responsibilities, create documentation, resolve support tickets and meet Business SLAs. 
Supporting production environment with availability 
Experience with Hadoop Architecture and Big Data users to implement new Hadoop eco-system technologies to support multi-tenancy cluster
Experience in working with the vendor(s) and user communities to research and test new technologies to improve the technical capabilities of existing Hadoop clusters