Key Responsibilities Lead the deployment, configuration, and ongoing administration of Hortonworks, Cloudera, and Apache Hadoop/Spark ecosystems. Maintain and monitor core components of the Hadoop ecosystem including Zookeeper, Kafka, NIFI, HDFS, YARN, REDIS, SPARK, and HBASE. Take charge of the day-to-day running of Hadoop clusters using tools like Ambari, Cloudera Manager, or other monitoring tools, ensuring continuous availability and optimal performance. Manage and provide expertise in HBASE Clusters and SOLR Clusters, including capacity planning and performance tuning. Perform installation, configuration, and troubleshooting of Linux Operating Systems and network components relevant to big data environments. Develop and implement automation scripts using Unix SHELL/Ansible Scripting to streamline operational tasks and improve efficiency. Manage and maintain KVM Virtualization environments. Oversee clusters, storage solutions, backup strategies, and disaster recovery plans for big data infrastructure. Implement and manage comprehensive monitoring tools to proactively identify and address system anomalies and performance bottlenecks. Work closely with database teams, network teams, and application teams to ensure high availability and expected performance of all big data applications. Interact directly with customers at their premises to provide technical support and resolve issues related to System and Hadoop administration. Coordinate closely with internal QA and Engineering teams to facilitate issue resolution within promised Skills & Qualifications : Experience : 5-8 years of strong individual contributor experience as a DevOps, System, and/or Hadoop Domain Expertise : Proficient in Linux Administration. Extensive experience with Hadoop Infrastructure and Administration. Strong knowledge and experience with SOLR. Proficiency in Configuration Management tools, particularly Data Ecosystem Components : Must have hands-on experience and strong knowledge of managing and maintaining : Hortonworks, Cloudera, Apache Hadoop/Spark ecosystem deployments. Core components like Zookeeper, Kafka, NIFI, HDFS, YARN, REDIS, SPARK, HBASE. Cluster management tools such as Ambari and Cloudera : Strong scripting skills in one or more of Perl, Python, or Management : Strong experience working with clusters, storage solutions, backup strategies, database management systems, monitoring tools, and disaster recovery : Experience managing KVM Virtualization : Excellent analytical and problem-solving skills, with a methodical approach to debugging complex : Strong communication skills (verbal and written) with the ability to interact effectively with technical teams and : Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent relevant work experience. (ref:hirist.tech) Show more Show less