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    Hadoop Bigdata Developer - Kuala Lumpur, Malaysia - Net2source LLP

    Net2source LLP
    Net2source LLP Kuala Lumpur, Malaysia

    Found in: Foundit MY A2 - 2 days ago

    Default job background
    Full time Technology / Internet
    Description

    Job Description:

    • Working experience of Hadoop, Hive SQL's, Spark, Bigdata Eco System Tools.
    • Should be able to tweak queries and work on performance enhancement.
    • The candidate will be responsible for delivering code, setting up environment, connectivity, deploying the code in production after testing.
    • The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies. Occasionally, the candidate may have to be responsible as a primary contact and/or driver for small to medium projects.
    • The candidate should have strong DevOps and Agile Development Framework knowledge.
    • Preferable to have good technical knowledge on Cloud computing, AWS, or Azure Cloud Services.
    • Strong conceptual and creative problem-solving skills, ability to work with considerable ambiguity, ability to learn new and complex concepts quickly.
    • Experience in working with teams in a complex organization involving multiple reporting lines.
    • Solid understanding of object-oriented programming and HDFS concepts

    Roles & Responsibilities:

    • Need to work as a developer in Bigdata, Hadoop or Data Warehousing Tools and Cloud Computing
    • Work on Hadoop, Hive SQL's, Spark, Bigdata Eco System Tools.
    • Experience in working with teams in a complex organization involving multiple reporting lines.
    • The candidate should have strong functional and technical knowledge to deliver what is required and he/she should be well acquainted with Banking terminologies.
    • The candidate should have strong DevOps and Agile Development Framework knowledge.
    • Create Scala/Spark jobs for data transformation and aggregation.
    • Experience with stream-processing systems like Storm, Spark-Streaming, Flink

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