大数据的岗位都有哪些，都是做什么的？这个问题恐怕困扰着很多人，因为一直没有统一的标准,就容易造成这种混乱的情况。搜索某招聘网站，可以看到这样的结果。
[En]
What are the positions of big data and what do they do? I am afraid this problem bothers many people, because the absence of a unified standard can easily lead to such confusion. Search a recruitment website and you can see this result.
其实有时候我都不知道自己是哪一个岗位，感觉都符合，感觉又不符合。
[En]
In fact, sometimes I don't even know which position I am. I feel it fits, but it doesn't fit me.
当然这种问题肯定是暂时，近日《大数据从业人员能力要求》正式发布，并于11月1日开始实施，大数据的岗位与从业标准更加的明确了。也相信这会让大数据的发展更加的迅速，规范。
[En]
Of course, this problem must be temporary. Recently, "big data employee competency requirements" was officially released and implemented on November 1, big data's position and employment standards have become more clear. I also believe that this will make big data's development more rapid and standardized.
全文pdf请在公众号 大数据流动后台回复 "大数据岗位" 获取。
本标准由工信部联合了权威的大数据企业联合制定。按岗位方向分成了： 大数据处理，大数据管理，大数据分析，大数据系统，大数据安全，大数据服务六个方向。下面更细分了各种类型的工程师，以后的大数据工程师可以有各种领域的分类。
[En]
This standard is jointly formulated by the Ministry of Industry and Information Technology and the authoritative big data enterprise. According to the position direction, it is divided into six directions: big data handling, big data management, big data analysis, big data system, big data safety, and big data service. The following is a more detailed breakdown of various types of engineers, the future big data engineers can have a variety of field classification.
按照职业发展的要求，也分成了初级，中级，高级三个级别。
举个例子，比如数据管理工程师。