我们是谁?
App Annie 是全球首屈一指的移动应用经济决策平台,为移动应用开发商与发行商提供开发,销售和投资应用的全部信息。每天,全球有千万条数据经 App Annie 处理。每一秒,全球 90%以上的的 Top100 应用商都在享受 App Annie 带来的数据产品和服务。
作为一个全球化的 App 数据处理公司,去年, AppAnnie 荣登德勤“ 2015 年度北美高科技高成长 500 强公司”第十名。带着 1.57 亿美元已到 E 轮的融资,散发着明星创业公司璀璨的光芒。由数据而生,根植本源,我们始终如一,坚信数据就是力量。
我们能 offer 你什么?
- 多元化的工作环境
- 牛人倍出的专业技术氛围
- 高效灵活的工作节奏
- 独立但和谐的团队氛围
- 全方位包围你的福利:有竞争力的薪酬+六险一金+最新式的 MacBook Pro+早午自助餐+新鲜 TeamBuilding+高价值股票期权+近乎完美的福利制度(健身费 + 宽带费 + 探亲费 + 取暖费+ 学习鼓励费等)以及 量身定做的 Buddy 制度噢~
============================关注我们============================
还犹豫什么?马上给我们发邮件申请吧!简历请致
[email protected] or QQ : 925273863 联系
===========================职位介绍============================
我们想找什么样的你?
Senior Data Engineer
Job Responsibilities
- Partner with internal and external technology providers, third parties, senior architects, QA and infrastructure operations teams to jointly design and develop integrated solutions
- Collaborate with Product Manager and Data Analyst for requirement analysis, solution design and implementation
- Design, implement and administer Data Integration and Data Warehouse (ETL, Dimensional Modeling) solutions by combining multiple transactional systems and multiple sources of internal and external data
- Design, implement and administer various reporting and analysis
- Apply normalization/de-normalization techniques for data modeling and analysis
- Contribute to and employ best practices and strategies in optimizing the performance of data analysis and stability of data integration solutions
- Develop complex SQL queries, scripts, stored procedures, user defined functions, views and triggers for business logic implementation
- Assume end to end responsibility for executing projects in an agile development environment
You
- Major in computer science or related area of study
- 3~8 years working experience
- Motivated, initiative, structured and reliable
- Strong background and expertise in either aspect:
- Deep experience in data warehouse, data integration and data modeling. Strong data sensitivity and rich experience dealing with large-scale data in terms of storage, integration, tuning and analysis.
- Strong programming skills: Python (preferred), Java, PHP, Ruby. Rich experience dealing with data for analysis or integration through programming.
- Excellent spoken and written English
- Prior exposure to working with globally distributed teams is preferred
===========================职位介绍============================
Big Data Engineer
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
==========================薪水信息============================
Salary: 20w/y-30w/y (还是根据面试情况而定啦~)