来源：数据分析师 CPDA | 时间：2018-11-05 | 作者：admin
1.Design and implement complex product components based on requirements with possible technical solutions.
2.Be responsible for the complete lifecycle of big data components software development, including designing, prototyping, implementation, testing, maintenance and technical support
3.Produce technical specifications and determine operational feasibility
4.Write well designed, testable, efficient code
5.Integrate software components into a fully functional software system
6.Document and maintain software functionality
7.Write data analysis and statistic program in Big Data ecosystem (Spark, Pig, Elasticsearch, Presto, Hive, Storm, etc) with a commitment to maintaining high quality work while being confident in dealing with data mining challenges.
8.Tailor and deploy engineering tools, processes and metrics Partner with global engineering, product and operations teams to further incorporate collective innovations Relocation Provided: No/否
1.Extensive experience on (2+ years) on building and operating large scale data processing system
2.Solid programming skills, fluent with Scala/Java/Python
3.Strong passion with learning / practicing new technics
4.Familiar with Linux or similar systems
5.Experience with big data ecosystem is preferred
6.Good English skills on listening, speaking, reading and writing is preferred
7.Logical thinking style, good communication skills Team working spirit, flexible on working pressure