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    Big Data Developer - Hyderabad, India - Virtusa

    Virtusa
    Virtusa background
    Description
    Big Data Developer - CREQ188135 Description
    Job Description:

    5+ years of hands-on experience in designing, building and supporting Data Applications using Spark, Sqoop and Hive
    Bachelors or masters degree in Computer Science or related field
    Strong knowledge of working with large data sets and high-capacity big data processing platform
    Strong experience in Unix and Shell scripting
    Advanced knowledge of the Hadoop ecosystem and its components
    In-depth knowledge of Hive, Shell scripting, Python, Spark
    Ability to write MapReduce jobs
    Experience using Job Schedulers like Autosys
    Hands on experience in HiveQL
    Good knowledge on Hadoop Architecture and HDFS
    Strong knowledge of working with large data sets and high-capacity big data processing platform
    Strong experience in Unix and Shell scripting
    Experience with jenkins for Continuous Integration
    Experience using Source Code and Version Control Systems like Bitbucket, Git
    Good to have experience on Agile Development

    Responsibilities:
    Develop components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
    Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset
    Participates and guides team in estimating work necessary to realize a story/requirement through the software delivery lifecycle
    Responsible for developing and delivering complex software requirements to accomplish business goals
    Ensures that software is developed to meet functional, non-functional, and compliance requirements
    Codes solutions, Unit testing and ensure the solution can be integrated successfully into the overall application/system with clear robust, and well-tested interfaces

    Required Skills:
    Hadoop, Hive, HDFS, Spark, Python, Unix

    Nice to have skills:
    AML Domain knowledge
    Primary Location Hyderabad, Andhra Pradesh, India Job Type Experienced Primary Skills PySpark, Kafka, ANSI SQL, Cloudera Data platform Years of Experience 5 Qualification

    Job Description:

    5+ years of hands-on experience in designing, building and supporting Data Applications using Spark, Sqoop and Hive
    Bachelors or masters degree in Computer Science or related field
    Strong knowledge of working with large data sets and high-capacity big data processing platform
    Strong experience in Unix and Shell scripting
    Advanced knowledge of the Hadoop ecosystem and its components
    In-depth knowledge of Hive, Shell scripting, Python, Spark
    Ability to write MapReduce jobs
    Experience using Job Schedulers like Autosys
    Hands on experience in HiveQL
    Good knowledge on Hadoop Architecture and HDFS
    Strong knowledge of working with large data sets and high-capacity big data processing platform
    Strong experience in Unix and Shell scripting
    Experience with jenkins for Continuous Integration
    Experience using Source Code and Version Control Systems like Bitbucket, Git
    Good to have experience on Agile Development

    Responsibilities:
    Develop components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
    Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset
    Participates and guides team in estimating work necessary to realize a story/requirement through the software delivery lifecycle
    Responsible for developing and delivering complex software requirements to accomplish business goals
    Ensures that software is developed to meet functional, non-functional, and compliance requirements
    Codes solutions, Unit testing and ensure the solution can be integrated successfully into the overall application/system with clear robust, and well-tested interfaces

    Required Skills:
    Hadoop, Hive, HDFS, Spark, Python, Unix

    Nice to have skills:
    AML Domain knowledge
    Travel No

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