Big Data Platform Administrator
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Role details
Tech stack
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Requirements
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Minimum of 3 years of hands-on experience maintaining and supporting enterprise big data environments utilizing Apache Spark, HDFS, and Kafka in production. \n
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Proven ability to manage Spark environments, including system setup, workload optimization, performance monitoring, and resolving technical issues. \n
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Strong background supporting HDFS, with experience managing distributed storage, access controls, system availability, and performance. \n
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Practical experience administering Kafka, including cluster operations, topic configuration, message processing, security, and troubleshooting. \n
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Proficiency working in Linux environments, including executing commands, investigating system issues, and performing administrative tasks. \n
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Familiarity with monitoring and troubleshooting platforms such as Grafana, Splunk, or comparable enterprise tools. \n
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Working knowledge of Cloudera CDP, Hadoop, and Cloudera Manager is a plus, although direct expertise with Spark, HDFS, and Kafka takes priority. \n
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Relevant certifications in Cloudera or other big data technologies are beneficial but not mandatory. \n
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Understanding of distributed platform security, including Kerberos, SSL/TLS, IAM, and LDAP authentication and access management. \n
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Prepare application
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