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- 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 Operationalefficiency 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