Author: Zen and the Art of Computer Programming
1 Introduction
"Hadoop" is an open source distributed computing framework built on a cloud computing platform that provides storage, analysis, processing and computing capabilities for massive data. It is widely used in finance, telecommunications, the Internet, mobile communications and other fields. There are a large number of engineers and scientists in the Hadoop ecosystem, but the levels of these people vary and each has its own strengths. Some are good at Linux development, cloud computing, machine learning, etc., while some are more focused on Hadoop infrastructure construction and operation and maintenance. In terms of management, architecture design and security protection, there are also people who have rich product experience, product thinking, communication and coordination skills, and can effectively solve complex business needs and promote the company's business development. Therefore, establishing a high-end talent team in the Hadoop ecosystem is an important task now and in the future.
Generally speaking, the hiring requirements for the Hadoop ecosystem are as follows:
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Bachelor degree or above, familiar with computers, programming languages, databases, networks and other related knowledge, and able to complete relevant projects independently.
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Applicants who have graduated from big data major or related major will be given priority.
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Have a strong interest in the Hadoop ecosystem, a strong passion for big data, and the ability to quickly master new tools or technologies.
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Have good professional ethics, be honest and trustworthy, and have good communication and teamwork skills.
In addition to the above basic requirements, there are also some personal characteristics factors that will also affect the recruitment results. For example:
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English listening, speaking, reading and writing skills: Recruitment is mainly based on English resume screening. If the candidate's English proficiency is poor, you need to seek other job opportunities.
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Technical expertise: Although most Hadoop engineers have many years of technical experience, in some aspects they can reach or even exceed the industry cutting-edge. In addition, there are some Hadoop engineers who are good at open source software and therefore like to study the latest technological advances in the open source community.
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