• Full-time

Publication date： 2024.01.29

Company name not disclosed

#465 [All in house] Data engineer

  • R&D / Engineer /Technician (AI, Data)
  • Tokyo
  • Salary： ¥5M~¥8M
#465【オールインハウス】データエンジニア
職種Position R&D / Engineer /Technician (AI, Data)
会社概要Company profile [Company Profile]
Based on the corporate philosophy of "pursuing the happiness of all parties concerned and promoting the growth of each individual through the creation of customers," the human resources business centered on IT, medical care, nursing care, and young people, the Web media business, and M & A We are developing more than 30 services in various fields in Japan and overseas, such as consulting business.
Although it has been 16 years since the company was founded, it has achieved annual sales of 50.7 billion and has achieved continuous profit growth since its founding. In addition, since 2018, we have expanded our overseas business and are actively developing businesses to solve social problems in each country, mainly in Asia.
In the future, we plan to strengthen the SaaS domain and develop a world-class business model. While expanding existing businesses, we will take on the challenge of solving problems in new areas in Japan and overseas.

One of the reasons for growing the business is the "all-in-house system".
We handle most of the services in-house, divide the business for each service, create an organizational system where directors, engineers, designers, marketers, sales, etc. are always nearby, develop with high quality and speed, and provide services.

The technology level is high, we have a track record of joint research in marketing with Google, and there are engineers who have been serialized in "Software Design" for half a year, and the industry's best professionals support the technology.

[Background of recruitment]
Increased staff to expand business.

[Attractive points of company/work]
・ You can understand how the business is operated while engaging in various decision-making from the sales and marketing sites to the entire business.
-In addition to customer data and access logs stored in RDB, unstructured data such as text data / voice data can be handled. In particular, utilizing unstructured data will be a rare skill in the industry.
・ If you wish, you can gain experience in developing data infrastructure and building machine learning models, so you can flexibly form your career.
・ Because it is a team that "does anything related to data", you often work with other occupations such as data scientists and data analysts, so you can acquire skills and knowledge other than engineering.

▼ Career path
While having a stable business foundation, we are actively investing in new businesses and overseas businesses, so positions are constantly being created, and while having great discretionary power regardless of the year, you can gain a wide range of experience within the company. Environment and new challenges are possible.

▼ Sharing know-how within the company
We have a system in which approximately 1500 employees share know-how. This initiative was highly evaluated from outside the company and won the Good Action Award at "Good Action 2016" sponsored by Rikunabi Next.
仕事内容Job description [Job description]
▼ Business content
You will be responsible for managing and operating the data of all the services you operate across the entire company, and building and operating the data infrastructure to promote data utilization.
Currently, data is accumulated in CRM systems (MySQL / PostgreSQL) developed in-house for each business division, DWH such as TreasureData and BigQuery, and Google Analytics 360.
However, the current situation is that it is difficult for members such as sales and marketers who are not accustomed to handling data to perform data aggregation and analysis due to insufficient centralized management of data definition and extraction conditions.
In order to realize data-driven management, there is a need for a data analysis platform that allows all occupations to perform various aggregations and analyzes without writing complicated SQL.
Therefore, you will be in charge of designing, developing, operating, and developing the data analysis infrastructure while meeting the needs of data analysts, data scientists, sales marketers.

▼ Specific business content
・ Data utilization infrastructure development and maintenance operation on GCP
・ Development and maintenance of ETL processing using workflow engine
・ Development of business automation tools using Python
・ Review of database design and table design from the viewpoint of data storage
-Data processing, extraction, aggregation and creation of reports and lists using SQL
・ Support for data marketing measures in each business
・ Implementation of data utilization training
・ Construction and operation of machine learning accuracy monitoring system

▼ Data to handle
1: Access log data of own site (view, click, scroll)
2: Customer attribute data, customer time series information
3: Behavior data of company employees (call history, etc.)
4: Distribution result data of WEB advertisement (mainly google system) etc.
5: Text data (QA site data, job vacancies data, career data, etc.)
6: Voice data (call)
* Due to the nature of the business, there is no opportunity to process large amounts of data in real time as in games.

▼ Technology used
・ GCP (GCE, GCS, Cloud Functions, Cloud Build, BigQuery, DataPortal)
・ AWS (EC2, Lambda, S3, RDS)
・ Workflow engine (Digdag, Airflow)
・ Python
・ JavaScript
・ SQL
・ Git
応募資格Requirement
[Requirements]
・Practical experience in data analysis using Python, R, etc. (2 years or more)
・Basic knowledge of machine learning
・Required Japanese ability: N1

[Preferred requirements]
・Practical experience analyzing within GCP or AWS environments
・Work experience in environments such as Linux
・Basic knowledge or practical experience in natural language processing
・Voice data analysis practical experience
・Speeding up and parallelizing program processing, etc.
・Basic knowledge or practical experience in Bayesian statistics
・Basic knowledge of digital marketing
・Practical experience in web scraping, automation-related tool development, ETL-related coding, etc.
日本語力Japanese level Fluent
雇用形態Employment type Full-time
勤務エリアLocation Tokyo
勤務時間Working hours 9:00~18:00
想定年収Salary ¥5M~¥8M
条件・待遇Condition Employment Type: Permanent
Trial period: 6 months
Estimated annual income: 5 million yen to 8 million yen (may exceed 8 million yen depending on the skill of the person)
Work location: Tokyo
Working hours:09:00-18:00
Holidays: 2 days a week (Saturdays and Sundays), national holidays
Vacation: Summer vacation, year-end and New Year holidays, and other vacations available
Overtime: Average month 32 hours (80 hours of deemed overtime)
Benefits: Complete social insurance, commuting allowance (according to company regulations), and other benefits
選考についてProcess Number of applicants:2
Documents required for application: resume, resume of work
Online interview: Available
Interview language: Japanese
Number of interviews (flow): 2 times (with aptitude test)
Application for overseas residents: Unavailable
* May change depending on the situation of the candidate
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