What is IT job?

What is IT work?

The IT industry covers a wide range, including at least the four major categories of hardware, network, software, and information systems categories, so the industries in these four categories, as well as the people engaged in design, maintenance, support, and management, together form a ubiquitous IT industry.

IT Main Occupations

1. Software: System Analyst, Computer Programmer, Software Tester , software project manager, system architect.

2. Hardware category: computer maintenance.

3. Network categories: network engineers, network system designers, network integrated wiring operators, and network construction engineers.

4. Information system categories: computer operators, information system security engineers, information system managers, database system administrators, information system supervisors, information system evaluators, information resource development and management personnel, information systems designer.

5. Manufacturing categories: semiconductor device testers, semiconductor device production technologists, semiconductor device manufacturing workers, semiconductor device support workers, and semiconductor device packaging workers.

IT Popular Positions

1. Network Engineer

The network engineer can be said to be an "green evergreen" "As a profession, network technology has always been in urgent need. The third quarter IT recruitment index and skills report of Robert Half International, an American human resources company, pointed out that network management ranks second in the total demand skills ranking.

In the era of cloud computing, the network plays a more important role in the cloud resource pool (computing, storage, network).

On the other hand, the vigorous development of IPv6 standards, Internet of Things, mobile Internet, etc. has led to increasing talent and skill requirements for network engineers, especially new network engineers (mobile, IPv6, cloud computing direction) .

Network engineers can therefore be subdivided into multiple development directions, and the corresponding skill requirements have different focuses. Such as network security, network storage, architecture design, mobile network, etc.

2. Algorithm Engineer

Dr. He Wanqing once introduced three ways to do one thing quickly, among which he mentioned "improving pipeline efficiency, better algorithms and shorter The code critical path." It can be seen that the algorithm plays an important role in system efficiency.

Algorithms allow machines to solve problems in the way humans imagine. The algorithm largely depends on the type of problem and the engineer's understanding of machine programming. Its efficiency is closely related to the algorithm.

In mathematics and computer science, an algorithm (Algorithm) is a specific step in calculation, which is often used for calculation, data processing and automatic reasoning.

In the era of big data, the functions and effects of algorithms have been further highlighted. For example, we develop search relevance algorithms and sorting algorithms for the company's search business. Design data mining algorithms for the company's massive user behavior data and user intentions.

Algorithm engineers, according to research fields, mainly include audio/video algorithm processing, two-dimensional information algorithm processing in image technology, and one-dimensional information in the fields of communication physical layer, radar signal processing, biomedical signal processing, etc. Algorithmic processing.

In addition, data mining and Internet search algorithms, which reflect the development direction of big data, have become more and more popular in recent years, and algorithm engineers are gradually moving towards artificial intelligence.

3. Business Intelligence Analyst

Business intelligence extended by algorithm engineers has become more popular, especially in the field of big data.

IT career and consulting services company Bluewolf once released a report stating that the fastest growing demand for IT positions is for mobile, data, cloud services and user-oriented technical personnel. Specific positions include business intelligence analysts. One item.

Business intelligence analysts often need to be proficient in database knowledge and statistical analysis capabilities, and be able to use business intelligence tools to identify or monitor existing and potential customers.

Collect business intelligence data, provide industry reports, analyze technology development trends, determine future product development strategies for the market or improve the sales of existing products.

Business intelligence and logical analysis skills are particularly important in the era of big data. IT talents with business knowledge and strong data and mathematical analysis background will be more favored by large enterprises in the future IT workplace.

However, these skills are not something that ordinary people can master. Some companies are currently recruiting statisticians and teaching them technical and business knowledge.

4. Data mining engineer

Data mining engineer can also be called "data mining expert". Data mining is a technology that analyzes each piece of data to find patterns in large amounts of data.

Data mining is a decision support process. It is mainly based on artificial intelligence, machine learning, pattern recognition, statistics, databases, visualization technology, etc. It analyzes enterprise data in a highly automated manner and makes inductive inferences. ,

Uncover potential patterns from them to help decision makers adjust market strategies, reduce risks, and make correct decisions.

The skills mastered by data mining experts or data mining engineers can quickly create wealth for them.

The data mining company founded by David Selinger, Amazon’s first data mining engineer, sold product recommendation engine systems similar to Amazon to online retail and advertising sellers,

and This product recommendation engine system has also become Amazon’s most profitable tool in history. The value of data mining is evident from this.

5. Consultant

Any business department and any industry enterprise has IT systems supporting it silently behind the scenes.

In the era of cloud computing and big data, the challenges and opportunities faced by businesses will also bring more requirements to IT systems. In this case, the planning, deployment and operation and maintenance of IT systems require more proficient professionals to meet the needs of future big data analysis and cloud computing service applications.

6. Mobile application development engineer

Mobile application development will become more popular with the advent of the mobile Internet era.

As of the end of 2012, my country has 1 billion mobile phone users and more than 400 million mobile smart terminal users. A large number of mobile Internet games, applications and entrepreneurship have emerged in mobile payment, mobile shopping, mobile tourism, mobile social networking, etc. company.

There are many smart systems on mobile platforms, but the truly influential ones are iOS, Android, WP, Blackberry, etc.

A large number of information applications and Internet applications originally on PCs and the Internet have appeared on the mobile phone platform, and some unprecedented novel applications have also begun to appear and are increasing day by day.

7. Software Engineering Designer

In recent years, software-defined networking (SDN), software-defined data center, software-defined storage (SDS) and software-defined server (MoonShot) have gradually emerged in the IT industry. ) and other waves, there is a trend of software defining all future IT infrastructure.

8. Database development and management

Database development and management are particularly important in the era of big data. Related database management, operation and maintenance and development technologies will become the basis for the majority of BI, large enterprises and consulting companies. Demonstrate skills that are particularly valued by analytical institutions.

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