Liepin Big Data Research Institute released the "2022 Future Talent Employment Trend Report"
From the ranking point of view, from January to April 2022, the average annual salary of mid-to-high-end talents in various industries is the highest, with an average annual salary of 310,400 yuan; the average annual salary of mid-to-high-end talents in the financial industry is 276,900 yuan. Second; the average annual salary of mid-to-high-end talents in the communication and big data industries is 275,100 yuan and 252,300 yuan respectively, ranking third and fourth; the average annual salary of mid-to-high-end talents in the IT/Internet industry is 230,200 yuan, ranking seventh.
Chart source: "2022 Future Talent Employment Trend Report"
If you feel high, being averaged like this? Then open Boss directly and search for big data engineers:
let's do data analysis:
The salary column has a minimum salary and a maximum salary. We compared and analyzed different cities and found that the salary level in Beijing is the highest, with a minimum of 22k and a maximum of 38k.
The number of years of work is also a big factor restricting the salary level. It can be seen from the figure that even just graduated, it can reach a salary range of 11-20k.
In terms of academic requirements, most of them are undergraduates, followed by junior colleges and masters, and the others are relatively few, so that they are not shown in the figure. 
Most of the requirements of enterprises for different positions are 3-5 years. Of course, enterprises need employees with certain work experience, but in actual recruitment, if you have project experience and no problem with theoretical knowledge, the company will also relax the conditions.
Analyzing different industries, we found that the demand for big data jobs is distributed in all walks of life, mainly in computer software and the Internet. It may also be determined by this recruitment software. After all, Boss' direct recruitment is still dominated by the Internet industry.
Let's take a look at which companies are recruiting big data-related positions. Judging from the number of more than 15, Huawei, Tencent, Ali, Byte, these big companies still have a great demand for this position.
So what skills do these positions require? Spark, Hadoop, Data Warehouse, Python, SQL, Mapreduce, Hbase and many more
According to the domestic development situation, the future development prospects of big data will be very good. Since 2018, companies have started digital transformation. First- and second-tier cities have a strong demand for talents in the field of big data. In the next few years, the demand for talents in third- and fourth-tier cities will also increase significantly.
In the field of big data, the domestic development is relatively late. Since 2016, only more than 200 universities have opened majors related to big data, which means that the first batch of graduates in 2020 has just entered the society. There is an urgent need for big data talents but there is a shortage of talents, so there will be many employment opportunities in the field of big data in the future.
With high salary and large gap, it will naturally become the "salary" choice for professionals!
Any learning process requires a scientific and reasonable learning route in order to complete our learning goals in an orderly manner. The content to be learned in Python + big data is complex and difficult. We have compiled a comprehensive Python + big data learning roadmap for everyone to help you clarify your ideas and overcome difficulties!
Detailed introduction to the Python + big data learning roadmap
The first stage of big data development
Pre-school introduction: Start with traditional relational databases, master data migration tools, BI data visualization tools, and SQL, and lay a solid foundation for subsequent learning.
1. Big data data development foundation MySQL8.0 from entry to proficient
MySQL is the entire IT basic course, and SQL runs through the entire IT life. This course comprehensively explains MySQL 8.0 from zero to high-level. After learning this course, you can have the SQL level required for basic development.
The second stage of big data core foundation
Pre-school guide: learn Linux, Hadoop, Hive, and master the basic technology of big data.
2022 version of big data Hadoop introductory tutorial
Hadoop offline is the core and cornerstone of the big data ecosystem, the introduction to the entire big data development, and a course that lays a solid foundation for later Spark and Flink. After mastering the three parts of the course: Linux, Hadoop, and Hive, you can independently develop visual reports for offline data analysis based on data warehouses.
The third stage of hundreds of billions of digital warehouse technology
Pre-school introduction: This stage of the course is driven by real projects and learns offline data warehouse technology.
Data offline data warehouse, enterprise-level online education project actual combat (complete process of Hive data warehouse project)
This course will build a group data warehouse, unify the group data center, and centrally store and process scattered business data; Version control, R&D, testing, and launching, covering the entire process of the project; mining and analyzing massive user behavior data, customizing multi-dimensional data collections, and forming a data mart for use in various scenarios and themes.
Stage 4 PB In-Memory Computing
Pre-school guide: Spark officially uses Python as the first language on its homepage. In the update of version 3.2, it highlights the built-in bundled Pandas; the course fully conforms to the trend of the technical community and the needs of recruitment positions, and is the first in the entire network to join Python on Content of Spark.
1. Python entry to proficient (19 days full)
Python basic learning courses, starting from building the environment. Judgment statement, then to the basic data type, then learn to master the function, familiar with the file operation, initially construct the object-oriented programming idea, and finally lead the students to enter the python programming hall with a case.
A full set of Python tutorials
2. Advanced python programming from zero to building a website
After completing this course, you will master Python advanced syntax, multitasking programming, and network programming.
3.spark3.2 from basic to proficient
Spark is a star product of the big data system. It is a high-performance distributed memory iterative computing framework that can process massive amounts of data. This course is developed based on Python language learning Spark 3.2. The explanation of the course focuses on combining theory with practice, which is efficient and fast, and explains the profound things in simple language, so that even beginners can quickly master it. Let experienced engineers also gain something.
4. Big data Hive+Spark offline data warehouse industrial project actual combat
Through the big data technology architecture, it solves the problems of data storage and analysis, visualization, and personalized recommendation in the industrial Internet of Things manufacturing industry. The one-stop manufacturing project is mainly based on the Hive data warehouse layering to store various business indicator data, and based on sparkSQL for data analysis. The core business involves operators, call centers, work orders, gas stations, and storage materials.