The Future Career Planning of Big Data Engineers

If you want to know about the career planning or study plan of data analysis engineer, so as to improve your skills and professional knowledge, I think the most accurate and targeted method is to consult the job requirements of the recruitment position, so that we can study our studies in a targeted way. Let's take a look at the following recruitment requirements:

1. Be responsible for the planning, analysis and design of big data platform, grasp the overall architecture and write relevant technical solution documents;

2. Responsible for the deployment, development and maintenance of the big data platform;

3. Cooperate with BI analysts to complete the data analysis model definition and algorithm realization for business objectives;

4. To undertake exploration and reserves in related technical fields.

Requirements:

1. Bachelor degree or above, proficient in C/C++ or JAVA；;

2. Familiar with various commonly used data structures and algorithms, and have enough experience in developing network databases under linux;

3. More than 2 years of actual combat experience in C++ is preferred;

4. Experience and skills in big data mining are preferred; Such as hadoop, hbase, hive, etc.

5. Be good at communication and cooperation with other department members.

Another recruitment requirement is:

Job responsibilities:

1. Understand and mine users' needs and conduct data modeling;

2. Use professional statistical analysis tools to summarize laws from massive data, tap potential value and provide decision-making basis.

Requirements:

1, bachelor degree or above in mathematics, statistics, computer and artificial intelligence, about 2 years full-time experience in data analysis and mining, excellent master's degree is also acceptable;

2, good data sensitivity, good at extracting effective information from massive data for analysis, mining and modeling;

3. Master any analysis tools, such as SPSS, SAS, R language and MatLab；;

4, familiar with database technology, such as oracle, SQL, MongoDB；;

5. Experience in mathematical modeling, data mining and Hadoop big data is preferred.

I think, seeing here, you should have a very clear view of data analysis engineers. Come on, ba!