Chapter 1015 Big Data Architect
Recruiting unit: EIMINY Technology (Asia R&D Center)
Recruiting targets: 2024 graduates from domestic and overseas universities.
Recruitment number: 21 positions, totaling 201 people.
Recruitment positions and requirements: (Scan the QR code below to view position information and job requirements) Tang Su squeezed into the crowd with his mobile phone, and then scanned the QR code on the poster.
After scanning, he saw the job information. The job information was all in English.
There are more than 20 job postings. Tang Su clicked on one of them: Recruitment position: Big data architect
Job requirements:
1. Proficient in one or more programming languages in Java/python/C.
2. Be familiar with the typical big data product architecture of the Internet. Have an in-depth understanding of the big data system, and have a deep understanding and development experience of the big data infrastructure and platform underlying principles.
3. Familiar with data warehouse modeling theory and able to independently complete system architecture.
4. Proficient in Hive and HBase warehouse design, and have a deep understanding of MR operation principles and mechanisms.
5. Proficient in big data technologies such as Hadoop, Hive, and Spark.
6. Proficient in using Java or other languages to process data with complex business logic, and have the ability to process and optimize massive data.
7. Familiar with Linux, Shell, Nginx, ElasticSearch, Clickhouse, Tomcat, Redis, Kafka, Oracle, Mysql, Druid and other related technologies.
8. Have strong abstract design ability, clear thinking, good at thinking, and able to independently analyze and solve complex problems;
Job requirements: 1. Master degree or above from a key university (ranked in the top 100 in the world, top 5 in China), major in computer science, applied mathematics, statistics.
2. Have engaged in R&D tasks related to big data, including research paper publication, R&D project experience, etc.
3. Applicants with outstanding performance in well-known domestic and international evaluation tasks or competitions such as Kaggle and Tianchi will be given priority.
4. Candidates with experience in data mining, machine learning, recommendation algorithms, artificial intelligence, and mathematical modeling projects are preferred.
Salary and benefits: USD 7,000/month during the probation period, five insurances and one fund, housing, transportation, and medical subsidies.
After becoming a regular employee, the monthly salary is 14,000-18,000 USD/month, including five insurances and one fund, housing, transportation, medical subsidies, year-end bonus, project bonus, children's benefits, annual travel...
Tang Su read the information twice.
She mainly looks at the job requirements.
Because seeing these requirements can help her understand what professional skills she needs to master to be competent for such a job.
At present, her professional level is still far from the above requirements.
At this time, Tang Su heard several fellow brothers nearby talking.
"We only recruited 200 people this year. It's so hard to get in."
Tang Su looked back. Although she didn't know these seniors, they looked familiar to her. She should have met them in school.
"Yeah, everyone wants to get into EIMINY, the competition is too fierce." another boy replied.
"The main reason is that some positions require a postgraduate degree, which is really difficult. If we had known earlier, we would have participated in more competitions. Many positions state that candidates with outstanding performance in well-known information competitions at home and abroad will be given priority."
"I feel like my four years in college were wasted. Why is it so difficult to find a satisfying job?" The boy was very upset.
"Forget it, let's submit the simplified version to iFlytek. The salary there is lower, but they recruit more people and the difficulty is not that great."
A few boys talked for a while and then walked away.
Tang Su saw that many classmates were submitting resumes, and many classmates were scanning QR codes to view job information like himself.
(End of this chapter)
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