Looking for Hadoop Administrator with 2 to 6 years of experience to join our growing Hadoop Production Support team. The hire will be responsible for supporting MAPR Hadoop platform and application. The Hadoop Admin will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure Hadoop Platform runs 24/7.  Responsibilities:  • Install and configure MAPR/Hortonworks clusters  • Apply proper architecture guidelines to ensure highly available services  • Plan and execute major platform software and operating system upgrades and maintenance across physical environments  • Develop and automate processes for maintenance of the environment  • Implement security measures for all aspects of the cluster (SSL, disk encryption, role-based access via Apache Ranger policies)  • Ensure proper resource utilization between the different development teams and processes  • Design and implement a toolset that simplifies provisioning and support of a large cluster environment  • Review performance stats and query execution/explain plans; recommend changes for tuning Apache Hive queries  • Create and maintain detailed, up-to-date technical documentation  Requirements:  • 3 years of experience working with Apache Hadoop as an admin  • In-depth knowledge of Apache Hadoop and MapReduce  • Experience with Apache HBase and Hive  • Experience with Linux  • Ability to shell script with Linux  • Ability to troubleshoot problems and quickly resolve issues  • Cluster maintenance as well as creation and removal of nodes.  • 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.  • HDFS support and maintenance.  • Experience with big data tools: Hadoop, Hive, HBase, Pig Latin, Spark, Kafka, NiFi etc.  • In-depth knowledge of Apache Hadoop and MapReduce  • Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.  • Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required"