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Hadoop Admin

Fragma Data Systems Verified employer

Actively hiring · Posted 6d ago · JEV2610D504611F25

Salary₹16,00,000 – ₹20,00,000 per year
Experience5–9 yrs
LocationBengaluru (Bangalore)
Work modeOffice · Full time
Openings1

Job description

Responsibilities     - Responsible for implementation and ongoing administration of Hadoopinfrastructure.     - Aligning with the systems engineering team to propose and deploy newhardware and software environments required for Hadoop and to expand existingenvironments.     - Working with data delivery teams to setup new Hadoop users. This job includessetting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pigand MapReduce access for the new users.     - Cluster maintenance as well as creation and removal of nodes using tools likeGanglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools     - Performance tuning of Hadoop clusters and Hadoop MapReduce routines     - Screen Hadoop cluster job performances and capacity planning     - Monitor Hadoop cluster connectivity and security     - Manage and review Hadoop log files.     - File system management and monitoring.     - Diligently teaming with the infrastructure, network, database, application andbusiness intelligence teams to guarantee high data quality and availability     - Collaboration with application teams to install operating system and Hadoopupdates, patches, version upgrades when required.    READ MORE OF THE JOB DESCRIPTION QualificationsQualifications     - Bachelors Degree in Information Technology, Computer Science or otherrelevant fields     - General operational expertise such as good troubleshooting skills,understanding of systems capacity, bottlenecks, basics of memory, CPU, OS,storage, and networks.     - Hadoop skills like HBase, Hive, Pig, Mahout     - Ability to deploy Hadoop cluster, add and remove nodes, keep track of jobs,monitor critical parts of the cluster, configure name node high availability, scheduleand configure it and take backups.     - Good knowledge of Linux as Hadoop runs on Linux.     - Familiarity with open source configuration management and deployment toolssuch as Puppet or Chef and Linux scripting.     Nice to Have     - Knowledge of Troubleshooting Core Java Applications is a plus.

Key skills

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