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公司在北京三里屯SOHO,全球300多人，北京是研发中心，130多人，每年业绩300%增长，公司刚拿到D轮投资，是个加入公司的好时间。公司典型的工程师文化，总有一款和你聊得来的朋友。福利啥的，业界良心，来了就知道。
如果对职位有兴趣，请发送英文简历至recruiting-apac@appannie.com或者加QQ 2358304655 咨询。尽量24小时之内给回复。

公司介绍：
在全球应用商店经济环境中，App Annie一直处于市场情报及分析行业中的领导地位。超过80%的100强iOS发行商们都倚仗于App Annie的数据产品来获知应用商店业务的信息，其中包括：EA、GREE、Storm8、 微软以及诺基亚。
我们向应用商店社区提供免费以及付费的产品。“App Annie 分析” 产品可以让发行商追踪自己产品的下载量、收入、排名以及评价的情况。与此同时，App Annie还允许任何一个人分析全球应用商店中的排名情况。而这些都是完全免费的。“App Annie 情报”是我们的一款高端产品，其提供了目前所知最为精确的应用商店市场数据。
App Annie是一家私人持有的全球化公司，我们在北京、旧金山、香港、伦敦以及巴黎都设有分支机构。公司由来自美国、日本以及中国的投资机构支持，其中包括：Greycroft Partners、 e.ventures、 Infinity Venture Partners 以及 IDG Capital Partners。
我们以位于三里屯SOHO的顶级办公环境+竞争性的薪酬+六险一金+股票期权计划+近乎完美的福利报销制度（最新式的MacBook Air/Pro+IPhone/IPad+健身费+宽带费+探亲费+学习鼓励费等）诚邀您的加盟！

你可能不知道的几件事：

一：Annie是app领域里最国际化的面孔
App Annie在全球有8个据点，员工们说着18种语言，经常来往于世界各地。她选择住在北京和旧金山，因为她喜欢和数据怪才们共度时光。
二：Annie吸引了东西方最优秀的风险投资人
Annie沉迷于数据，吸引了IDG、Greycroft、红杉资本、e.ventures、Infinity Venture Partners等重量级风险投资人。
三：Annie扩张迅速
虽然她不好意思承认，但Annie的规模已经是去年的两倍了。2014年一开始，就有150个好朋友和她一起工作，她还想要更多小伙伴。
四：安妮的头发一开始不是红色的
Annie本来是黑发的啦。2012年的时候Annie决定换个复古造型，和过去说再见，所以改变了形象。
五：Annie喜欢社交
所以无论是微博、微信，还是twitter、facebook和Google+，你都能看到Annie的身影。

Senior Big Data Engineer

Salary Range：not less 300K+

The Role

We’re looking for an experienced engineer who can lead project and create innovative new products in the analytics and data space. You will participate to the development that creates the world’s #1 app stores analytics service. Together with the team you will build out new product features and applications using agile methodologies and open source technologies. You will work directly with Technical Product Manager, Software Architects, and will be on the front lines of coding new and exciting analytics and data mining products. You should be passionate about what you do and excited to join an entrepreneurial start—up.

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 distributed systems

You must be a great problem solver, with the ability to dive deeply into complex problems and emerge with clear and pragmatic solutions

Good English spoken and written skills. You will need to be able to work with Western managers in a bilingual environment.

Major in Math or Computer Science
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