Hadoop Admin (Platform Support)

About the Employer
Annual Salary
Not disclosed

Job Description

Minimum experience of 4-6 years in managing and supporting large scale production hadoop environments (configuration management, monitoring, and performance tuning) in any of the hadoop distributions (apache, hortonworks, cloudera, mapr, ibm biginsights, pivotal hd) 2-3 years of experience in scripting language (linux, sql, python). should be proficient in shell scripting 4-6 years of experience on administrative activities likes- administration, maintenance, control, optimization of hadoop... capacity, performance tuning, security, configuration, process scheduling, and errors. management of data, users, and job execution on the hadoop system experience in backup, archival and recovery (bar) and high availability (ha) plan for and support hardware and software installation and upgrades. 4-6 years of experience in hadoop monitoring tools (cloudera manager, and ambari, nagios, ganglia etc). experience may include (but is not limited to) build and support including design, configuration, installation (upgrade), monitoring and performance tuning of any of the hadoop distributions hadoop software installation and upgrades experience of workload / performance management implementing standards and best practices to manage and support data platforms as per distribution. proficiency in hive internals (including hcatalog), sqoop, pig, oozie, spark and flume/kafka. experience in mysql & postgresql databases. experience in incident management, servicenow, jira, change management process. fundamental knowledge of any cloud platform native technologies aws/azure/gcp itil knowledge. must be willing to provide 24x7 on-call support on a rotational basis with the team. preferred experience with dr (disaster recovery) strategies and principles. development or administration on nosql technologies like hbase, mongodb, cassandra, accumulo, etc. development or administration on web or cloud platforms like amazon s3, ec2, redshift, rackspace, openshift etc. development/scripting experience on configuration management and provisioning tools e.g. puppet, chef web/application server & soa administration (tomcat, jboss, etc.) development, implementation or deployment experience on the hadoop ecosystem (hdfs, mapreduce, hive, hbase) experience on any one of the following will be an added advantage cloudera data science workbench cloudera data platform kubernetes, docker, terraform hadoop integration with large scale distributed data platforms like teradata, teradata aster, vertica, greenplum, netezza, db2, oracle, etc. proficiency with at least one of the following java, python, perl, ruby, c or web-related development knowledge of business intelligence and/or data integration (etl) operations delivery techniques, processes, methodologies exposure to tools data acquisition, transformation & integration tools like talend, informatica, etc. & bi tools like tableau, pentaho, etc. linux administrator certifiedShow full descriptionCollapse

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