Senior Hadoop Administrator Posted Jan 13
Request Technology - Craig Johnson , Reston, VA
 
Prestigious Enterprise Company is currently seeking a Sr. Hadoop Administrator, preferably with HortonWorks experience. Candidate will administer and maintain Hortonworks Hadoop clusters across all environments - Production, UAT, Development and DR.

Responsibilities:

Installation/upgrade/configuration of the Hortonworks Hadoop platform.

Proactively monitor cluster health and perform performance tuning activities.

Perform capacity planning and expansion activities working across Infrastructure and other Enterprise Services teams

Perform cluster maintenance with patching, backup/recovery, user provisioning, automation of routine tasks, troubleshooting of failed jobs, configure and maintain security policies.

Qualifications:

Bachelor/Master Degree in Information Technology, Engineering, Computer Science, related field or equivalent experience.

3+ years of hands on experience with enterprise level Hadoop administration (Hortonworks preferred).

Strong understanding of one or more major RDBMS technologies like Oracle, DB2, MS-SQL etc.

Understanding of High Availability, Disaster Recovery and Storage technologies like Data replication, SRDF/non-SRDF

Strong Linux/Unix and Networking experience

Preferred Skills:

In depth understanding of Hadoop ecosystem like HDFS, YARN, MapReduce, Hive, Pig, Spark, Sqoop, Solr, kafka, oozie, Knox etc.

Experience in installation/configuration Hadoop clusters from scratch.

Experience in upgrading Hadoop clusters using rolling upgrade/express upgrade methods.

Experience in troubleshooting and analysing Hadoop cluster services/component failures and job failures.

Experience in setup, configuration and management of security for Hadoop clusters using Kerberos and integration with LDAP/AD at an Enterprise level.

Experience with setting up Ranger policies for HDFS and Hive.

Implementation experience in setting and configuring backup and recovery procedure on Hadoop.

Implementation experience in setting and configuring High availability and Disaster Recovery procedures.

Experience in managing Hadoop cluster with Ambari and developing custom tools/scripts to monitor the Hadoop Cluster health.

Experience in configuration and tuning of various components like HDFS, YARN, Hive, Spark.

Experience in documenting Runbooks, and other operational documentation

Employment Type: Permanent
Work Hours: Full Time

Pay: $120,000 to $135,000 USD
Pay Period: Annual

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