Roles & 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, 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