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How is Netease treated?
1, Netease ranking system
Netease is known as the "pig factory", and employee well-being has been at the forefront of Internet vendors. It can be seen from Netease's rank and salary system.
Netease's employees are divided into 9 grades, 1 the highest and 9 the lowest. Grade 8 has the largest number of people, and grade 9 employees are almost absent now. P6 and above are rare gods who can lead the operation of large-scale projects and participate in the strategic planning of the company to some extent.
Salary level of school recruitment:
Netease's salary structure is different from other companies. There are also differences between different departments. For example, core departments such as e-commerce are relatively more powerful. There are two main types:
1) 12 salary+double salary at the end of the year (1 month)+year-end bonus (3 months)+annual bonus (2 months) = 18 salary.
2) 12 salary+double salary at the end of the year (1 month)+year-end bonus (3 months)+quarterly bonus (4 months) = 20 salary.
On 18 salary and 20 salary, one year in Netease is equivalent to another company's "moving bricks" for one and a half years.
2. What do senior engineers of Netease do?
Take Netease Cloud Music under Netease as an example.
Netease Cloud Music, as a popular APP under Netease, relies on professional musicians, DJs, friends' recommendation and social functions to capture the public with its unique personal music fingerprints, and at the same time, it adds the function of listening to songs and making friends at the request of fans.
Because Netease's unique daily push has gained a lot of people, this is probably the first time in China to try to use big data to make personalized music recommendation software. There is a sentence on Twitter, "It is generated according to your musical taste and updated at six o'clock every day". After listening to Twitter, you may ask, "How does it know what kind of songs I like?"
This is the job of a big data engineer, which can not only realize personalized music recommendation, but also help marketers to gain insight and grasp users' emotions through the analysis of big data.
Although the salary is not completely linked to the P level, as the core implementer of Netease Cloud Music, the rank of senior big data engineer is generally above level 6, which not only has strong coding ability, but also is generally responsible for the operation of large-scale projects, so the salary level is higher in the whole team.
3. How do Netease big data engineers join the company?
In fact, in today's network development, there is a huge gap for big data engineers: Taobao, JD.COM, Mile Mile, Tik Tok and so on. We can analyze your browsing and consumption data and recommend products for you accurately. ...
The gap between big data engineers directly leads to the increase in salary: at present, the monthly salary of big data engineers is easily over 10,000 yuan, the salary of data engineers with several years of work experience ranges from 400,000 yuan to 800,000 yuan, and the top big data technicians are easily over one million yuan.
It can be seen that in last year's recruitment, Netease offered a monthly salary of up to 40k to big data architects with 3-5 years' experience.
In the information of recruiting big data engineers by major manufacturers, we can also find that the threshold is not high. For example, the 30k-60k big data development engineer given by ByteDance only needs 1-3 years working experience.
According to the market recruitment demand, in fact, there is little difference in the basic skills of data analysts, which can be summarized as follows:
Basic operation of SQL database, basic data management.
Can use Excel/SQL to do basic data analysis and display.
Will use scripting language for data analysis, Python or R.
The ability to obtain external data, such as reptiles.
Basic data visualization skills, able to write data reports.
Familiar with commonly used data mining algorithms: regression analysis, decision tree, random forest, support vector machine, etc.
But if you want to enter a big factory like Netease Tencent, it is not enough. In addition to the extensive and messy courses to be studied, the depth of learning is difficult to grasp, and more importantly, the requirements of big companies for big data project experience.
For many students who want to become big data engineers at Netease, it is essential to customize the basic course system and the platform for actual life-long learning around Hadoop+Spark+Flink. For students who want to learn big data engineers, excellent brands such as Beida Jade Bird and Workshop are good choices. The course is customized according to the recruitment needs of large factories, and big data talents are exported to Netease's level 6 big data engineers (70% are directly exported to first-line enterprises).
I hope my answer is helpful to you!
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