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Potter
V2EX  ›  酷工作

AppAnnie 诚邀 大数据工程师( Big Data Engineer) 一个细分领域世界第一的外企

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  •   Potter · 2015-11-05 09:37:11 +08:00 · 2003 次点击
    这是一个创建于 3325 天前的主题,其中的信息可能已经有所发展或是发生改变。
    APP Annie

    大数据工程师( Big Data Engineer )

    只需要您有一年以上的 Hadoop 应用开发经验(得是一年的工作经验哟~)

    APP 数据分析领域内全球第一!
    一半同事是老外,真正 8 小时工作制~


    The Role

    Your responsibilities will include:
    • Design and implement complex product components based on requirements, discuss with project leader and product manager on possible technical solutions.
    • Write data analysis and statistic program in Hadoop ecosystem (Map/Reduce, Pig, Hive, HBase etc) with a commitment to maintaining high quality work while being confident in dealing with data mining challenges.
    • Get up to speed in the machine learning domain, implementing analysis components in a distributed computing environment with instruction from Data Scientists.
    • Be comfortable conducting detailed discussions with Data Scientists regarding specific questions related to specific data models.
    • Tune the performance of Hadoop and its related components.

    You
    You should be a strong engineer with proven experience in distributed back-end system implementation, profiling and optimization

    • 3+ years computer development experience
    • 1+ years development experience with Python
    • Hands-on experience of MapReduce and NoSql database development and performance tuning
    • Shell and other script language experience is an advantage
    • Deep knowledge of Hadoop ecosystem (HDFS, MapReduce, HBase, Hive, Pig etc.)
    • Familiar with common Machine Learning algorithm in Data Mining domain is a big plus
    • Passion for cloud computing and distribute

    如果您对这个职位感兴趣,请发送您的英文简历到下面的邮箱呀~
    邮箱: [email protected]
    5 条回复    2015-11-11 13:55:26 +08:00
    robinlovemaggie
        1
    robinlovemaggie  
       2015-11-05 09:55:12 +08:00
    读不起,您违反了某国新版广告法~~
    Potter
        2
    Potter  
    OP
       2015-11-05 17:03:57 +08:00
    @robinlovemaggie 但是……真的是第一啊……当然也是因为领域相对来说分的比较细,很容易区分出来~
    kingzeus
        3
    kingzeus  
       2015-11-09 11:02:32 +08:00
    地点在哪里?
    Potter
        4
    Potter  
    OP
       2015-11-10 10:52:27 +08:00
    @kingzeus 在三里屯 SOHO~
    kingzeus
        5
    kingzeus  
       2015-11-11 13:55:26 +08:00
    太远了
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