18 Mar

Hadoop Administrator - Pune - Itbms India

Position
Hadoop Administrator
Company
Itbms India
Location
Pune MH
Opening
18 Mar, 2017 30+ days ago

Itbms India as the company that open the jobs vacancy, have some qualification and spesification especially for the Hadoop Administrator jobs vacancy. To find out more information and about qualification and spesification details, walkin interview schedule, the address of the company, the company contact info (email/phone number) of Itbms India company, please start to apply for the job vacancy with fill the jobs application with click the 'Apply This Job' button below.

Installation and configuration of Hadoop cluster (HDP 2.1, HDP 2.5) Experience in managing HDP operations using Ambari and native tools. Experience setting up secured clusters using KNOX, Kerberos, and Ranger. Experience setting up fine grained access control. Experience setting up optimum cluster configurations for MapReduce, Spark, Hive, Hbase, etc.

Experience configuring Zookeeper, Oozie, Falcon, etc. Configuring HDP High Availability. Write/ Review Java and Python code for frameworks and applications. Debugging knowledge of YARN.

Hands-on with analyzing various Hadoop log files. Recommends best practices in compression, encoding, file formats, etc. Experience in monitoring cluster health by using Ganglia, Nagios, Monit and other tools. Develop automated scripts for holistic monitoring.

Writing automation scripts to generate cluster and system usage reports to fine tune the configuration Implement HDFS Quota, Node Labels, and Fair/ Capacity Scheduler. Installing and Configuring Apache Spark Experience in 24x7 production on-call rotation and Agile development environment Experience in Linux system administration. Experience in Configuration Management tools such as Chef, Cookbooks, Cobbler, etc. Experience in configuring separate storage and compute node clusters.

Experience in setting up heterogeneous storage layers. Programming in Spark. Experience setting up MPP, In-Memory databases Experience in managing big data systems in cloud environments. Experience in one of the leading BI reporting/analysis product


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