Job Description

We at TalentPool have an excellent opportunity for you to work with one of our prestigious client Job description Roles and Responsibilities Person will be responsible to Perform Big Data Platform Administration and Engineering activities on multiple Hadoop, Kafka, Hbase and Spark clusters Work on Performance Tuning and Increase Operational efficiency on a continuous basis Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements Working closely with development, engineering, and operation teams, jointly work on key deliverables ensuring production scalability and stability Develop and enhance platform best practices Ensure the Hadoop platform can effectively meet performance & SLA requirements Responsible for Big Data Production environment which includes Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase etc Perform optimization, debugging and capacity planning of a Big Data cluster Perform security remediation, automation and selfheal as per the requirement Hands on Experience in Hadoop Admin, Hive, Spark, Kafka, experience in maintaining, optimization, issue resolution of Big Data large scale clusters, supporting Business users and Batch process. Hands-on Experience No SQL Databases HBASE is plus Prior Experience in Linux / Unix OS Services, Administration, Shell, awk scripting is a plus Excellent oral and written communication and presentation skills, analytical and problem-solving skills Self-driven, Ability to work independently and as part of a team with proven track record Experience on Hortonworks distribution or Open Source preferred Kindly send us a copy of your updated resume at [HIDDEN TEXT] Along with the following details Current CTC Expected CTC Notice Period Preferred Location Regards, Team TalentPool

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