How about employment in big data?

1. There is a huge talent gap

After graduating from the big data major, you will mainly be engaged in big data analysis. There is currently a huge talent gap in this position. Learning big data analysis is equivalent to getting a job in a big company. and the key to the door to high wages. According to statistics, the daily demand in Beijing alone reaches 15,680.

2. Rising demand in various industries

Industries such as finance, e-commerce, games, medical care, future education, social networking, etc. all need big data analysts, and the demand is huge.

3. Big cities have more opportunities and higher wages

The demand for big data professionals is mainly concentrated in first-tier and first-tier cities. You can learn more in big cities, and the salary level is also high. , the average monthly salary of big data analysis in Beijing reaches 20,050 yuan.

From talent gaps and rising demand to high-paying employment, the big data major is a major with good employment prospects.

Three major employment directions for big data professionals

The three main employment directions for big data are: big data system research and development talents, big data application development talents and big data analysis talents.

In these three major directions, the basic positions are generally big data system research and development engineers, big data application development engineers and data analysts.

Employment salary of big data professionals

1 Basic talent: data analyst

The average salary of data analysis in Beijing:?0?610630/month, taken from 15526 samples, an increase of 9.4 compared with 2016.

Data Analyst Job Responsibilities

Business Category: Technology

Business Direction: Data Analysis

Job Responsibilities:

1. Based on the company's products and business needs, use data mining and other tools to conduct diagnostic analysis on multiple data sources, build and optimize credit analysis models, and provide data support for the company's credit operation decisions, product design, etc.;

2. Responsible for the project's demand research, data analysis, business analysis and data mining models, etc., by analyzing the operating data to discover the hidden patterns and predictions for the future;

3 .Participate in the construction, maintenance, deployment and evaluation of data mining models;

4. Organize and compile business data analysis reports, promptly discover and analyze changes and problems, and provide decision-making support for business development;

5. Independently complete project requirements management, program design, implementation management and quality control of project results;

6. Participate in the preparation of project-related documents.

Education background:

Education: Bachelor's degreeOthers:

Experience requirements: Work experience: 3-5 years

Job requirements:

1. Bachelor degree or above in statistics, mathematics or computer science, mathematical statistics or data mining; have solid professional knowledge of data statistics and data mining;

2. Proficient Use mathematical statistics, data analysis, and data mining tool software (one or more of SAS, R, Python, etc.), and be proficient in using SQL to read data;

3. Have used logistic regression and neural networks , decision tree, clustering, etc.;

More than 4.3 years of experience in data analysis, credit reporting background is preferred;

5. Have experience in finance Applicants with relevant experience in industry projects will be given priority;

6. Strong initiative, strong sense of responsibility, positive work attitude, and teamwork spirit.

Competencies:

Good analysis, induction and summary skills, good at analyzing and solving practical problems; strong initiative, strong sense of responsibility, positive work attitude, Have team spirit.

2 Big Data Development Engineer

The average salary of big data development in Beijing: ?0?630230/month.

Big data development engineer/expert job description (quoted from Didi Chuxing):

Job description:

1. Build a distributed big data service platform, Participate in and build the company's systems including massive data storage, offline/real-time computing, real-time query, big data system operation and maintenance, etc.;

2. Serve various business needs and serve the growing business and data volume;

3. Go deep into the source code core to improve and optimize open source projects, solve various difficult problems of hadoop, spark, and hbase, and participate in open source community building and code contribution;

Position requirements:

1. Bachelor degree or above in computer or related major (more than 3 years of work experience);

2. Proficient in C/Java/Scala program development (at least one), familiar with Linux/Unix development environment;

3. Familiar with common open source distributed systems and proficient in the source code of Hadoop/Hive/Spark/Storm/Flink/HBase;

4. Have experience in large-scale distributed system development, Maintenance experience, troubleshooting capabilities, and source code level development capabilities;

5. Have good communication and collaboration skills, and a strong sharing spirit;

6. Support Ku, Kylin, Bonus points for those who have in-depth use of systems such as Impala, github, etc. and are low-level researchers;