Big Data Engineer Is it easy to find a big data job now? Not a single interview in a week

Chengdu is not easy to find, mainly because I have little experience, change careers, I must find it, but Chengdu's salary, I hehe, three or five years of experience should be better. From a professional Q user: An anonymous user.

It's still easier to find, Beijing, Shanghai, Guangzhou and Shenzhen, needless to say, it's easy to find, I also have 3 4 ten in Changsha, a city where the Internet is not developed, and it seems that there are many companies that have not been able to find anyone, one of them as long as I have a master's degree, but I didn't go, the treatment is a little lower than the Zhilian standard, I am three years of work experience. I came here to interview more than a dozen companies and had four offers. Come on!

From a professional Q user: An anonymous user.

The employment situation of big data is determined by several factors:

1. Have you learned the real big data technology?

1. Learning ability.

2. Whether you have mastered the real big data technology.

3. Whether it has real experience in big data projects.

2. Academic qualifications(Big data development has high requirements for academic qualifications, and the minimum threshold is college degree or above).

3. Personal character(Whether it is suitable for the big data development industry, whether it can collaborate with the team, whether it is good at communicating and integrating into the team, etc.).

Fourth, the luck factor(I had several students who studied very well, but they encountered a lot of obstacles in finding a job, and then they adjusted their mentality, persevered for a while, and successfully joined the company.) Didn't someone say that there will be a "water reversal period", there will always be a period of time when it will be particularly unsmooth, so you have to stick to it).

The salary of a big data engineer has always been relatively high in the IT industry, and the most important thing that affects your salary is yoursProfessionalism, as well as the ability to workIn technical positions, you rely on technology to eat, and you have to have the ability to do it.

The scope of the big data industry is still relatively wide, and data analysis is divided into two directions:

1. Data development direction.

Partial technology, including development engineers, mining engineers, algorithm engineers, and data warehouse engineers, these relative thresholds are a bit high, and the requirements for academic qualifications, majors, and graduation schools are relatively high.

Second, the direction of analysis.

Partial business is to discover business problems through data, gain insight into industry opportunities, and drive the development of enterprises through the value generated by data, which is also the most needed talent for the digital transformation of enterprises, which has low requirements for programming ability.

Now let's talk about the data analyst in the direction of business analysis, the data analyst position is relatively special, and it cannot be learned in fragments. In China, data analyst is an emerging industry, and the major related to this industry may be the big data major, which was only set up in colleges and universities in 2016, and the first batch of fresh graduates just graduated last year, but they are also more proficient in the use of python and sql and tools, but they don't know anything about business, but enterprises don't need to be very proficient in knocking, if they need programming skills to be particularly strong, then people can recruit a few programmers, right? Why do you need a data analyst?

Therefore, the most important thing for a data analyst is not the ability to use this kind of ** and tools, but a business ability.

In terms of industry trends, the industry of big data and data analysts is a very good direction, because now I don't need to say anything, everyone should have heard of artificial intelligence, AI or something, and this direction is developing very fast, then there will definitely be a place for us.

Enterprises are undergoing digital transformation, and the development of enterprises is driven by data, and data analysis determines corporate strategy. Data analysis is widely used, such as e-commerce industry, medical and health care and life sciences, insurance, e-commerce, Internet industry, financial industry, etc., at least 10 million vacancies in China, many people are changing careers to engage in data analysis, many data operations, data processing, reports and other related work students are turning to data analysts.

Big data jobs are a hot industry. It's easy to find, like 丨t, **, Internet, etc. have big data jobs.

Big data is engaged in open source work, and is more inclined to "research and development", which can rekindle the enthusiasm of programmers to develop programs and careers.

With the new pursuit, this means that big data will become a work worthy of long-term struggle and breakthrough for programmers;

Secondly, because big data is an emerging field, there is a shortage of professional talents, and high-end talents are the objects of competition for enterprises, so it is easy to raise salaries and have huge career development potential.

2. What is the salary of big data talents?

It's also good to do technical programming, but at present, big data is a trend, companies with a little strength are on big data projects, and hadoop itself is programming development, plus hadoop engineers are generally more than 30% higher than pure technical programming development, so there are many people engaged in technical programming are turning to hadoop big data.

There are already more people doing technical programming, and many people have worked for 4 or 5 years and have a monthly salary of 20,000 yuan, and even fewer can earn tens of thousands. But many people in Hadoop only have 1 year of experience and get more than 20,000 yuan. Therefore, many people who are well paid now are also learning big data, mainly considering the ceiling of future development.

problems. Big Data Engineer.

Is the job difficult? First of all, let's understand what kind of work big data engineers need to deal with, and according to the content of the work, everyone can have a basic concept in mind. In the workplace, big data engineers need to analyze and optimize the system and solve the stability problem in the operation of the system. Responsible for the maintenance and secondary development of big data infrastructure frameworks, such as Kafka, Flink, HBase, etc., and responsible for data collection.

Processing, analyzing, statistical, excavating work, etc.

Is the job of a big data engineer tiring? In addition to the above work, big data engineers also need to be responsible for data warehousing.

The construction of a data mart provides offline and real-time access to data from various data sources. Responsible for the design, development and application of real-time query tools, fixed reports, operational data products, dashboards and other products according to business needs.

It is not difficult to learn, big data development is one of the career development directions of big data, and the other direction is big data analysis. In terms of work content, big data development is mainly responsible for big data mining, big data cleaning and processing, big data modeling, etc., mainly responsible for the processing and application of large-scale data, and the work is mainly based on development, and cooperates with big data visual analysis engineers to mine value from data and provide support for enterprise business development.

Big data engineers are engaged in big data development, and their main job is to build big data application platforms and develop analytical applications, which also belongs to the category of programmers.

Shen Zhiyong believes that if big data is imagined as a constantly accumulating mine, then the job of a big data engineer is, "The first step is to locate and extract the data set where the information is located, which is equivalent to prospecting and mining." The second step is to turn it into information that can be directly judged, which is equivalent to smelting. Finally, there are applications, visualization of data, etc.

ThereforeAnalyze the history, the future, and optimize the selectionThese are the three most important tasks for big data engineers when "playing with data". Through these three directions of work, they help businesses make better business decisions.

Generally speaking, big data is a position responsible for the company's Internet data analysis, simply put, such as shopping ** on the recommendation of some products to you according to your browsing, in addition to analyzing the information that has a guiding role in the company's discovery from massive data, etc., are all big data needs to do, and now the demand for big data is very large, and it has great development prospects.

In order to thoroughly implement the spirit of the "Action Plan for Promoting the Development of Big Data" (Guo Fa (2015) No. 50), actively respond to the Ministry of Industry and Information Technology's "Big Data Industry Development Plan (2016-2020)", promote the construction of big data infrastructure with advanced technology and prosperous applications, and further improve the theoretical and technical level of professional and technical personnel in big data engineering.

Big data engineering is mainly based on analysis and history.

DAO according to the "three most important tasks:

Identifying the characteristics of past events: An important job for a big data engineer is to analyze data to find characteristics of past events. Identifying the characteristics of past events can be most useful in helping businesses better understand consumers.

By analyzing the user's past behavior trajectory, we can understand the person and his behavior.

What is likely to happen in the future: By introducing key factors, big data engineers can be able to consume trends in the future.

Find out the best results: Depending on the nature of the business, big data engineers can use data analysis to achieve different goals.

What are the studies of research big data engineers? Before that, let's take a look at the future development trend of this big data. Through the development of the Internet, all industries are inseparable from the Internet.

Big data has played a very good role as an effective means of guidance for the Internet. It is precisely for this reason that the demand for big data talents has increased, and the supply and demand of talents are seriously uneven. Enterprises will pay high salaries to hire big data talents, which also brings business opportunities to many students, which also leads many students to turn to big data.

What are the studies of big data engineers? This is what many friends want to know. In fact, it is not difficult to identify a good learning institution, we only need to look at its teaching quality, teachers' skills, and curriculum arrangements and other indicators to find the best learning school that is suitable for us.

The real big data technology teaches professional big data technology knowledge. The real enterprise and project are rewritten and designed by the corresponding project in the enterprise, which is close to the actual combat and actual work. The real big data source is used for teaching, and the data itself has certain commercial value.

The course content involves data acquisition, data processing, data storage, data analysis (core), data presentation and data application, which can be called a "full-stack big data development course". The course is rich in content, not only with the mainstream technology of big data, but also about the hot technologies related to big data, such as cloud computing and machine learning, so that students can be more competitive in employment and have room for development.

What are the big data learnings? Which major? I believe that through the introduction of this article, you already have a certain choice framework. In fact, the real choice is to go to various learning institutions for field trips.

Big data engineer is a relatively senior position in the professional employment position of big data source, and the daily work of DU is big data

Statistics and analysis, from the upstream of data DAO data to the downstream of data, can be roughly divided into:

Data collection - > data cleaning - > data storage - > data analysis and statistics - > data visualization and other aspects.

Interested in Big Data Want to learn about Big Data? You've got the right person, let's talk about it.

Generally speaking, big data is a position responsible for the company's Internet data analysis, simply put, such as shopping ** on the special according to your browsing genus to recommend some goods, in addition to the analysis of the company from a large amount of data to find a guiding role in the information is big data needs to do, now the demand for big data is very large, very promising.

In order to thoroughly implement the spirit of the DAO document "Action Plan for Promoting the Development of Big Data" (Guo Fa Zhi (2015) No. 50) of the State BAI Institute, we will actively respond to the work.

The Ministry of Publishing's "Big Data Industrial Right Development Plan (2016-2020)" promotes the construction of big data infrastructure with advanced technology and prosperous applications, and further improves the theoretical and technical level of professional and technical personnel in big data engineering.

It is mainly used for data analysis, processing, migration and other work in a large number of databases, and also for processing.

Big data is still relatively easy to find a job.

The employment prospects of big data majors are very good, the era of big data is the era of scarcity of professionals, as an emerging technology field, there are few "old experts" in the industry, many work practitioners with two or three years of experience, it can be said that the qualifications are very old, and the big data graduates of domestic colleges and universities are far from meeting the market demand.

It's a sunrise industry that is on the rise right now, and data is at the heart of any company, and data analysts are important decision-makers for companies. Not only can it play a decisive role in the development of enterprises, but it can also be applied to various industries to bring a lot of value, and its development will be better and longer than other IT technology development in the future.

Big Data Professional Development Direction:

1. The big data developer respects the skin.

The positions involved include big data engineers, big data maintenance engineers, big data R&D engineers, big data architects, etc.; Data Mining, Data Analysis and Machine Learning: Positions such as Big Data Analyst, Big Data Senior Engineer, Big Data Analyst Expert, Big Data Miner, Big Data Algorithm, etc.

2. Big data operation and maintenance and cloud computing.

The positions involved, such as big data, operation and maintenance engineers, etc.; Among them, data mining and data analysis are the easiest to get started and the development direction with the largest talent gap. Many large enterprises will use some BI tools, such as Tableau and PowerBI, which are very famous abroad, and DataFocus, FineBI, Yonghong BI, etc., which are domestic dark horses, to assist in data analysis. Big data analysts need to be proficient in using these BI tools to maximize the value of data.