Big Data (Log Analytics)

Description

Job Description Expert experience in application performance tuning and troubleshooting.
Expert level experience in scripting (KSH, Perl, Python, etc).
Experience with monitoring tools such as AppDynamic, CA APM, ITRS, HP BAC, Foglight.
Experience with big data, middleware and reporting tools such as Hadoop, Elasticsearch, Flume, Logstash Kafka, ELK, Splunk, Kibana, Grafana.
Experience in building/maintaining CI/CD pipelines in an enterprise setting.
Experience working with Big Data (e.g. Hadoop, Kafka, Spark, Cassandra, Greenplum, Teradata, etc.).
Strong software development background (Java, Python, Scala, SQL, R, Shell Scripting).
Experience in continuous integration tools (Git, Jenkins, TFS, Maven, Nexus).
Experience deploying and operating services running in the Cloud (Azure, AWS).
Experience with Docker & Kubernetes.
Experience building data pipelines and automating Big Data platform applications/services.
Experience configuring and/or integrating with monitoring and logging solutions such as syslog, ELK (Elastic, Logstash, Kibana) and Kafka.
Strong UNIX/Linux systems administration skills, including configuration, troubleshooting and automation.