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Hadoop DevOps (a) // Bonn // Juli 2022 // 5 Mon+ (DE)

[1564]
Hadoop, RHEL, DevOps, Englisch

Hadoop DevOps (a) Aufgabe: Develop: Further engineer and automate platform operations and day to day tasks, plus deployment of new features and service integrations. Focus on automation of networking, infrastructure and service configurations  Harden: Implement and design new DevSecOps compliant processes, ensuring best practice of deployments and service using Twistlock and other security measures to ensure compliance  Operate: Troubleshoot platform and service operation issues, maintain operations and monitor platform through canary tests, metrics monitoring and end-user test reports  Service management: Work on tickets in queue, consult and assist use cases with their inquiries, coordinate changes and emergency incidents during on-call  Main relevant systems to position:  - MapR (HPE) Hadoop distribution  - Jenkins, Git and Ansible as automation and CI/CD tools  - RHEL OS  Anforderungen: -        Proven track record with experience within the Big Data field, specifically working with Hadoop as a platform and operating services in the Hadoop Ecosystem  -        Hands on experience in running 24x7 critical, high load, big data production platform  -        Deep expertise in the Hadoop system, and preferable experience with ecosystem components (Hive, Spark, ZooKeeper, etc)  -        Expert knowledge in using Ansible, Git and Jenkins for infrastructure and development deployment  -        Hands on experience managing and operating RHEL OS on production systems  -        Good experience and understanding on networking and infrastructure administration in a cluster perspective  -        Ability to use English in daily communication  -        Ready to learn extremely fast in a very agile and high pace environment.  -        Projektsprache: Deutsch und Englisch Geplanter Projektstart: 1.7.2022 Auslastung: Vollzeit Einsatzdauer: 5 Mon+ Einsatzort: Bonn

Hadoop DevOps (a)

Aufgabe:

Develop: Further engineer and automate platform operations and day to day tasks, plus deployment of new features and service integrations. Focus on automation of networking, infrastructure and service configurations 

Harden: Implement and design new DevSecOps compliant processes, ensuring best practice of deployments and service using Twistlock and other security measures to ensure compliance 

Operate: Troubleshoot platform and service operation issues, maintain operations and monitor platform through canary tests, metrics monitoring and end-user test reports 

Service management: Work on tickets in queue, consult and assist use cases with their inquiries, coordinate changes and emergency incidents during on-call 

Main relevant systems to position: 

- MapR (HPE) Hadoop distribution 

- Jenkins, Git and Ansible as automation and CI/CD tools 

- RHEL OS 

Anforderungen:

-        Proven track record with experience within the Big Data field, specifically working with Hadoop as a platform and operating services in the Hadoop Ecosystem 

-        Hands on experience in running 24x7 critical, high load, big data production platform 

-        Deep expertise in the Hadoop system, and preferable experience with ecosystem components (Hive, Spark, ZooKeeper, etc) 

-        Expert knowledge in using Ansible, Git and Jenkins for infrastructure and development deployment 

-        Hands on experience managing and operating RHEL OS on production systems 

-        Good experience and understanding on networking and infrastructure administration in a cluster perspective 

-        Ability to use English in daily communication 

-        Ready to learn extremely fast in a very agile and high pace environment. 

-        Projektsprache: Deutsch und Englisch

Geplanter Projektstart:

1.7.2022

Auslastung:

Vollzeit

Einsatzdauer:

5 Mon+

Einsatzort:

Bonn

map Bonn, Deutschland date_range 01.07.2022 update Freelance


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