
Hadoop Administrator - Big Data Platform Engineer
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.
Minimum 3 years of work experience in maintaining, optimization, issue resolution of Big Data large scale clusters
Self-driven, Ability to work independently and as part of a team with proven track record
Prior Experience in Linux / Unix OS Services, Administration, Shell, awk scripting is a plus
Experience on Hortonworks distribution or Open Source preferred
HBase
Presentation skills
Open Source
Time Management Skills
Shell scripting skills
AWK scripting
No SQL Databases
Hortonworks distribution
Verbal communication
Driven and self-motivated
written communication
Problem-Solving
Detail oriented and highly organized
Multi tasker
Flexible Approach
According to JobzMall, the average salary range for a Hadoop Administrator - Big Data Platform Engineer in 12301 Research Blvd, Austin, TX 78759, USA is $85,000 to $120,000 per year. This range can vary depending upon experience, qualifications, and the employer.
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