Big Data, Hadoop Administrator (L2 or L3) at Remote, Remote, USA |
Email: [email protected] |
From: Venkat, KK Associates LLC [email protected] Reply to: [email protected] We are hiring Big Data, Hadoop Administrator (L2 or L3) for one of my Client in Location: Austin (Day-1 reporting), Hybrid working model (Tue-Wed-Thu) working Interesting candidates please send resumes to [email protected] (614) 335-4419 Position: Big Data, Hadoop Administrator (L2 or L3) Location: Austin (Day-1 reporting), Hybrid working model (Tue-Wed-Thu) working. If this condition is not met, the candidate will not be considered for the interview/job. Visa status: Any visa will work but NO OPTs, CPTs. Passport Number Mandatory 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. Keywords: |
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Wed Jan 18 23:02:00 UTC 2023 |