Essential Functions

• 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, Kalka, Airflow, Nili, Hbase etc

• Perform optimization, debugging and capacity planning of a Big Data cluster

• Perform security remediation, automation and self-heals per the requirement

BASIC QUALIFICATIONS

• Hands on Experience in Hadoop Admin Python,Hive, Spark,PySpark is must.

• Minimum 3 years of work 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

• Experience on Hortonworks distribution or Open Source preferred