What are the responsibilities and job description for the Cloudera Big Data administrator position at KMM Technologies, Inc.?
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Position : Cloudera Big Data administrator
Location : Reston VA #HYBRID
Duration : #C2H
Job Description :
Experience with building Cloudera cluster setting up NiFi SOLR HBase Kafka Knox in Cloud using CDP Public Cloud v7.2.17 or higher.
Setting up the High Availability of the Services like Hue Hive HBase REST SOLR and IMPALA on top of the allnew clusters that were build on the BDPaaS Platform.
Be able to write the shell scripts to monitor the health check of services and respond accordingly to any warning or failure conditions.
Monitoring the health of all the services running in the production cluster using the Cloudera Manager. Performing / Accessing the databases metastore tables and writing Hive Impala queries using HUE.
Responsible for monitoring the health of the Services on top of all clusters.
Working closely with different teams like Application development team Security team Platform Support to identify and implement the Configurational changes that are needed on top of the cluster for better performance of the services.
managing Logging level & managing shards & high availability
Collection management
Rectify resource intensive & long running SOLR queries
Additional Skills Required :
Proficient with handling AWS EC2 S3 EBS EFS
Ensure Cloudera installation and configuration is at optimal specifications (CDP CDSW Hive Spark NiFi).
Design and implement big data pipelines and automated data flows using Python / R and NiFi.
Assist and provide expertise as it pertains to automating the entire project lifecycle.
Perform incremental updates and upgrades to the Cloudera environment with newer version.
Assist with new use cases (i.e. analytics / ML data science data ingest and processing) Infrastructure (including new cluster deployments cluster migration expansion major upgrades COOP / DR and security).
sist in testing governance data quality training and documentation efforts.Move data and use YARN to allocate resources and schedule jobs.
Manage job workflows with Hue.
Implement comprehensive security policies across the Hadoop cluster using Ranger.
Troubleshoot potential issues with Kerberos TLS / SSL Models and Experiments as well as other workload issues that data scientists might encounter once the application is running.
Supporting the Big Data / Hadoop databases throughout the development and production lifecycle.
Troubleshooting and resolving database integrity issues performance issues blocking and deadlocking issues replication issues log shipping issues connectivity issues security issues performance tuning query optimization using monitoring and troubleshooting tools.
Create test and implement scripting for automation support.
Experience in working with Kafka ecosystem (Kafka Brokers Connect Zookeeper) in production is ideal.
Implement and support streaming technologies such as Kafka Spark & Kudu.
Thanks & Regards
LAXMAN
KMM Technologies Inc.
CMMI Level 2 ISO 9001 ISO 20000 ISO 27000 Certified
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