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Senior MapR Administrator

Cambridge, Massachusetts

Role Description:

  • Hands on Architect who can understand the data use cases, design and develop POC for implementing data loading solutions into Hadoop utilizing various native and custom API connectors.
  • Manage Hadoop and Spark cluster environments - Cluster sizing, cluster configuration,smoke testing, service allocation, security setup, performance tuning and ongoing monitoring
  • Contribute to planning and implementation of hardware and software upgrades
  • Work with Operations and Site Reliability teams on monitoring and troubleshooting of incidents to maintain service levels
  • Hands on experience with distributed application architecture and implementation using MapR
  • Experience handling different file formats in Hadoop.
  • Ability to write jobs to enable data processing to start when connected online.
  • Develop and deliver data connectivity and storage solutions.
  • Architect, develop and debug Hadoop applications using Java and other Hadoop eco system components like HBase, Pig and Hive.
  • Understand No-SQL databases like MongoDB, Cassandra and implement solutions by leveraging those stack components and provide a hybrid solution, integrating it with the existing Hadoop cluster
  • Core experience in Java/Python for data processing and other scripting languages optional.
  • Experience with big data workflows and Lambda architecture
  • Experience with Linux OS and Installation/Configuration and Maintenance of MapR Distribution.

Required Skills:

  • 5+ years of experience in architecting, configuring, installation and maintenance of Open Source Big-data applications, with focused experience on MapR distribution.
  • Scripting experience using Shell, Python or PowerShell.
  • Experience in installing and deploying applications on Linux Platform.
  • Experience in upgrading Linux / MapR

    About Ericsson UDN:
    Ericsson UDN is developing the first distributed edge compute platform that enables services such as content delivery to deployed on service provider access networks.  Our goal is to enable the next generation of applications such as VR/AR, gaming, IoT, and big data to be deployed in a tiered compute infrastructure that enables massive scale with ultra-low latency. Our first service, a massively scaleable Content Delivery service is already in production.  Successful candidates will have the opportunity to work with the largest names in the business.

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