• Readiness to work in a Managed Services Team format
• Minimum experience of 3-6 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)
• 3-6 years of experience in Scripting Language (Linux, SQL, Python). Should be proficient in shell scripting
• 3-6 years of experience on Administrative activities likes-
• Administration, maintenance, control, and optimization of Hadoop capacity, 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.
• 3-6 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
• Automation - experience in CI / CD (Continuous Integration / Deployment) Jenkins, Ansible, Terraform, Puppet, Chef.
• Implementing standards and best practices to manage and support data platforms as per distribution.
• Proficiency in Hive internals (including HCatalog), SQOOP, Pig, Oozie and Flume/Kafka.
• Experience in MySQL & PostgreSQL databases.

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:
  • 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.