Expert (m/f/d) Elasticsearch #7122 7122

Regensburg, München  ‐ Vor Ort
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Beschreibung

As a freelancer, you benefit from our strong market expertise and from stable, longstanding customer relationships.

We offer a variety of national and international projects in some of the most prestigious companies among the top-performing technology sectors throughout Europe.

Together with our customers, we create space for innovation and an environment in which you can work agile, flexible and free from inflexible hierarchies.

It goes without saying, that fair contractual conditions and a fast, non-bureaucratic way of working are what matter most to us.

Ihre Aufgaben:
Voraussetzungen:
  • High familiarity with Elastic Stack Components – Elasticsearch, Logstash, Kibana, Beats
  • Must have worked in ELK implementation project and Logstash data parsing rules. (Grok, Ruby knowledge highly recommended)
  • Expertise in log monitoring standards according to Elastic Common Schema
  • Familiarity in designing, implementing, and configuring Kibana visualizations as required by the business.
  • Familiarity in Configuring Logstash, FileBeats, MetricsBeats and possibly other ELK Stack components to collect and store the data necessary to meet business requirements.
  • Familiarity with Linux (Redhat, CentOS) system administration (on premise)
  • Familiarity with security mechanism like Kerberos, AD LDAP, SSL/TSL, SSO
  • Familiarity with DevOps revision control tools like Bitbucket, Git, SVN
  • Working knowledge of programming (coding skills) in Pyton with IDEs like PyCharme and Unix shell
  • Have a passion for automation using Python and/or Javascript
  • Familiarity with open source deployment tools such as Ansible (Puppet) and Shell scripting and Jenkins
  • Familiarity with Monitoring Tools like Zabbix
  • Working knowledge of OpenShift Container Platform
  • Very strong Troubleshooting skills and solid understanding of system’s capacity and bottlenecks
  • Ability to communicate in German and English
  • Knowledge of Confluence and Jira
  • Analytical skills
  • Solid experience in Hadoop (Cloudera) system configuration and setup with its utilities and tool sets.
  • Familiarity with HDFS, YARN, HBase, Hive, Spark, Impala, Kafka etc.
  • Preferred knowledge in NoSQL databases like MongoDB (Percona Stack incl. monitoring and backup tools)


Telefon:

E-Mail:

Ansprechpartner: Peter Gumber

Start
keine Angabe
Von
Cegeka Deutschland GmbH
Eingestellt
24.08.2020
Ansprechpartner:
Peter Gumber
Projekt-ID:
1960106
Vertragsart
Freiberuflich
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