Hadoop Admin

As a Big Data Administrator and Engineer, your role will involve performing various activities on multiple Hadoop, Hbase, and Spark clusters to ensure their optimal performance and efficiency. You will be responsible for: - Performing Big Data Administration and Engineering activities on Hadoop, Hbase, and Spark clusters - Working on Performance Tuning and increasing Operational efficiency continuously - Monitoring the health of the platforms, generating Performance Reports, and providing continuous improvements - Collaborating closely with development, engineering, and operation teams to deliver scalable and stable production environments - Developing and enhancing platform best practices - Ensuring that the Hadoop platform effectively meets performance & SLA requirements - Managing Big Data Production environment including Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase etc - Optimizing, debugging, and capacity planning of a Big Data cluster - Performing security remediation, automation, and self-healing as required Qualifications required for this position include: - Strong experience with Big Data Administration and Engineering on Hadoop, Hbase, and Spark clusters - Proficiency in performance tuning, monitoring, and generating performance reports - Hands-on experience with Hadoop ecosystem components such as Hive, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase - Ability to optimize, debug, and capacity plan Big Data clusters - Experience in security remediation, automation, and self-healing processes If there are any additional details about the company in the job description, please provide them for further insights. As a Big Data Administrator and Engineer, your role will involve performing various activities on multiple Hadoop, Hbase, and Spark clusters to ensure their optimal performance and efficiency. You will be responsible for: - Performing Big Data Administration and Engineering activities on Hadoop, Hbase, and Spark clusters - Working on Performance Tuning and increasing Operational efficiency continuously - Monitoring the health of the platforms, generating Performance Reports, and providing continuous improvements - Collaborating closely with development, engineering, and operation teams to deliver scalable and stable production environments - Developing and enhancing platform best practices - Ensuring that the Hadoop platform effectively meets performance & SLA requirements - Managing Big Data Production environment including Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase etc - Optimizing, debugging, and capacity planning of a Big Data cluster - Performing security remediation, automation, and self-healing as required Qualifications required for this position include: - Strong experience with Big Data Administration and Engineering on Hadoop, Hbase, and Spark clusters - Proficiency in performance tuning, monitoring, and generating performance reports - Hands-on experience with Hadoop ecosystem components such as Hive, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase - Ability to optimize, debug, and capacity plan Big Data clusters - Experience in security remediation, automation, and self-healing processes If there are any additional details about the company in the job description, please provide them for further insights.