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Anonymous users2024-02-061: Big data engineers look at how strong their personal abilities are and whether they match the needs of the company. Academic qualifications are not very important and can be processed on a large scale.
2: Big data engineers need to have strong logical analysis skills. There will be a lot of big data in a company, and all aspects of data may be obtained.
Big data engineers, on the other hand, need strong experience with logical data and have the curiosity to hunt for treasure in the ocean of data, which is more suitable for this job. Analytical skills to find out what is most important for the company's development and what is not.
3: Big data engineers should have strong communication skills. The work of big data engineers requires strong contact with both technical and non-technical departments, and requires continuous communication with colleagues or leaders to maximize work efficiency.
4: Big data engineers need strong learning ability. As long as people have a strong learning ability, they can adapt to their roles in a very short time, and they can also be qualified for many positions. Big data engineers are undoubtedly the most successful in this way.
5: Big data engineers should have strong computer coding skills. Some of the must-have factors for a big data engineer are the ability to actually develop and process data at scale.
Nowadays, there is too much meaningless information on social networks, which requires us big data engineers to dig into it ourselves and find out the most useful things in it. Of course, some companies have big data engineers who focus on business analysis, but the way computers process big data is also a necessary skill.
Copyright Notice: This article is the original article of CSDN blogger CDA Data Analyst, and follows the CC BY-SA copyright agreement.
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Anonymous users2024-02-05It is necessary to have a college degree or above, a hobbyist of data mining and data analysis, and a technical staff of a software development company, and be in good health, have good thinking and a certain comprehensive quality.
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Anonymous users2024-02-04In two aspects, on the one hand, it is the hard power in the professional field, and on the other hand, it is the soft power in the workplace: Professional skill strength is very critical for big data development engineers, which determines that you can convince the interviewer in the technical interview to have the skills required for the position. 1. Proficient in at least one programming language.
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Anonymous users2024-02-03If you want to become a big data development engineer, first of all, I think you must learn mathematics quite well and have a certain knowledge, otherwise, we can't develop small data, what kind of big data development engineer is it?
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Anonymous users2024-02-02First of all, you should have a high degree of education, and then you should also go through continuous learning, continuous brick research, and the spirit of not being afraid of hardship.
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Anonymous users2024-02-01If you want to become a big data development engineer, you must be at least an undergraduate student in terms of academic qualifications, and then master a full set of skills in big data development, and be proficient in the Hadoop ecosystem Spark family bucket.
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Anonymous users2024-01-31Have a college degree or above, artificial intelligence technology enthusiasts, and technical personnel of artificial intelligence companies.
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Anonymous users2024-01-30Big data development is mainly based on big data service platform, and many large and medium-sized business applications include enterprise-level applications and various types of business applications. Ability to build big data application platforms and develop analytical applications.
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