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  • Posted: Sep 14, 2022
    Deadline: Not specified
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  • Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.


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    Cloud Support Engineer (Big Data - Distributed Processing)

    Basic Experience/Skills

    BASIC QUALIFICATIONS

    • Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.)
    • Good understanding of Linux and Networking concepts
    • Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.
    • Excellent oral and written communication skills with multi-tasking ability. Should be a self-starter who is excited about learning new technology.
    • Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend
    • Strong troubleshooting skills

    Preferred Experience/Skills

    PREFERRED QUALIFICATIONS

    • Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field
    • Proficient in Hadoop Map-Reduce and its Eco System [ Hive, HBASE, Spark, Presto etc.].
    • Python and shell scripting
    • Good understanding of distributed computing environments
    • Customer service experience / strong customer focus
    • Experience building docker images and troubleshooting container related issues
    • Prior working experience with AWS - any or all of EC2, S3, EBS, EMR
    • Experienced with Linux system monitoring and analysis (disk management, memory management, permissions etc.)
    • Good understanding of Networking concepts and protocols (DNS, TCP/IP, DHCP, HTTPS, etc.)

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    Method of Application

    Interested and qualified? Go to Amazon on www.amazon.jobs to apply

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