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DevOps Engineer

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Summary

Build and maintain containerized big-data infrastructure using Docker, Kubernetes, and Hadoop tools like Spark and Hive.

Job Description Strong experience in Docker, Ansible, Puppet, Mesos, and Kubernetes. Solid knowledge of Distributed Systems, including Hadoop and containers. Proficient in Perl and Python. Direct involvement with Kubernetes, Docker, and various other open-source projects. Experience in administering a data warehouse and analytics infrastructure using YARN, Spark, Hive, and/or Impala. Preferably with management of Hive UDFs and PySpark dependencies. Familiarity with a scripting language such as Ruby or Python. Job Requirements 6-7 years of experience in DevOps, particularly focusing on configuration management tools like Puppet or Chef. Accountable for the setup and configuration of Docker, Kubernetes, and Mesos environments. Proficient in defining Big Data Deployment Solutions within Docker-based environments. Well-versed in generic administration tasks, including creating Docker images, managing versions, container networking, and standard infrastructure maintenance on Docker and Kubernetes platforms. Familiarity with Linux kernel options, such as groups, and defining application groups to restrict resources. EA License No: 18S9405 Reg No: R1330864 Skills & Competencies Docker, Puppet, Ansible, Hadoop, Big Data.

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