Job Description :
Job Title: IT - Data Management - Database Administrator IV
Start/End Dates: 4/24/2019 - 10/23/2019
Assignment Scope: The Hadoop Administrator is accountable for managing big data environments, on bare-metal, container infrastructure, or on a cloud platform. This role is responsible for system design, capacity planning, performance tuning, and ongoing monitoring of the data lake environment.

Most important skills desired:
Hortonworks - Hadoop - HDP - on-prem / cloud. HDF a big plus
Big Data tools: HBase, Hive, Phoenix, Ranger other services in Ambari.
Shell Scripting : Bash, Perl, Python

Other desired skills / 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
Release Comments: Unexpected backfill needed quickly. Team is available to start interviews early next week and want to close the job on Wednesday, 4/17.