Sugon's R&D headquarters is in Beijing. If you come to Beijing, the benefits are pretty good, but you have to work a lot of overtime.

If in Tianjin, R&D and factories are in the same park, the working environment will be a little worse.

Related content of data research and development companies: 1. Data research and development, also known as "big data development", "data warehouse", "data technology" and other titles. The usual job requirements are familiarity with data warehouse model design experience, proficiency in using big data computing platforms,

Have good data sensitivity and basic knowledge of data statistics.

2. To summarize, it means mastering comprehensive data technology knowledge and having the ability to deal with engineering, data, analysis/algorithms, products/operations at the same time. It is a position with low entry barriers but difficult growth.

Benchmarking finance is from accounting to CFO, from industry analysis to the difficulty of growth of fund managers.

3. The scenarios targeted by data warehouse/data modeling are not necessarily applicable to the Internet. The data research and development involved in the Internet is more of an "end-to-end" solution: from data collection to

To the final application of data, a complete set of universal solutions will be developed.

4. The position of data development has gone through three stages of development: the first stage is the MR + operation and maintenance stage. There was a saying back then that "if you can write MR, your monthly salary will be over 10,000 yuan"; the second stage is the tool + SQL stage.

After the Hadoop ecology gradually enriched, the programming method gradually moved from Java/Python to unified SQL; the third stage is the platform development stage. The basic tools have matured, such as DataWorks, and basically no longer need to care about the underlying applications.

The problem with data development is that with the advancement of technology and the gradual platformization of open source frameworks in the past, many tasks have been replaced by automation.