Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Cloud / Infrastructure / DevOps tools

AWS Google Cloud

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

【Recruitment Background】
With the rapid business growth, the organization is now at the point of promoting organization to build the future business foundation, and is working to form a development system that can respond to the speed of business growth through aggressive technological investment.
Since its early days, the company has emphasized data-based decision making in its business operations, and a culture of “using data is a matter of course” is strongly rooted in the company's operations.

Until now, the company has been building a foundation for data utilization in line with its rapid business expansion. However, they face a number of issues related to improving data reliability, including product operations, internal policies, and requests from clients, which have been increasing rapidly.

【Responsibilities】
You will utilize SRE practices within the DRE (Data Reliability Engineering) group. In addition to building and operating a highly scalable data collection infrastructure that provides reliable data for all events requiring data such as data-driven decision making and products utilizing machine learning, you will be responsible for creating business value through data utilization using the data infrastructure.

Identification and resolution of issues to promote data utilization
Data collection and processing from various data sources
Design and operation of tables using GoogleCloud (BigQuery)
Definition and maintenance of SLO and SLI for data collection infrastructure
Management and operation of data analysis tools
Appropriate documentation of various designs, etc.

【Technology Stack】
【Development Languages】
- Python
- Shell Script
- LookML etc.

【Tools】
・Embulk
・Digdag
・dbt
・BigQuery
・trocco
・fivetran
・Redash, Looker Studio
・Terraform, Looker, etc.

【Attractiveness of working as a DRE/Data Engineer for the company】
In order to continue to sincerely address major social issues in the Japanese labor market, the scale of the business must be more strategic than ever before, and the organization and systems must become sustainable.
You can be involved in the creation of systems, processes, and organizations for the next leap forward as a participant in this process.
There is already a culture in which data utilization is a matter of course, and there is a great need for data analysis and utilization. The company aims to create not only a “data infrastructure for analysis” but also a “data infrastructure as an internal information infrastructure,” and you can be involved in building a data infrastructure that will have an impact on the growth of the business.
In addition to building data infrastructures, we are also able to take responsibility for the utilization of data beyond that point, which gives us the satisfaction of creating a direct business impact. This leads to investment in the data infrastructure and makes it easy to take on new challenges.
You will gain experience in developing, growing, and maintaining quality based on data.
Within the DRE team, there is a PO who is building the data infrastructure while conducting user interviews, etc.
You will be able to experience the sequence of data creation, processing, and delivery to users. Therefore, the DRE team is also focusing on data quality assurance as it is required to build a data infrastructure that is easy to use.

【Data handled】
Access logs of app users and company users, information on recruitment details
Information related to matching
Data related to advertising effectiveness, such as review and evaluation information and app installations
Data related to inquiries
Data on sales activity information
Various data received from corporate usersWe handle the above data.

【Features of the Data Engineering Department】
The Data Engineering Department as a whole holds study sessions approximately three times a week. Study sessions are also held across divisions, and those who are interested can participate in them, so there are many opportunities to learn about areas of interest.
There is a system to support growth so that each individual can work autonomously to improve their technical skills.
Flextime x remote work is available, so you can choose an environment where you can focus on your own work.
　*There is a system that supports the optimization of each person's home environment for remote work.
The organization has a high level of psychological safety, making it easy to ask for help and advice.
　*Refer to the article “We held a study session on psychological safety.
The company has a good soil for utilizing data. In addition, many employees, including management, understand the importance of data.

Required Skills and Experiences

【MUST】 Development / Technical Experience in web development in programming languages Able to develop not only a part of a system but also the whole system by hands independently. Able to understand objectively the area of work and to design appropriately. Experience in DB and/or DWH construction and operation Experience in team development using Git Experience in cloud development (especially GCP or AWS) Experience in infrastructure construction using CLI and IaC development and operation (especially Terraform experience) Experience in automation using CI/CD Soft Skills / Other Empathy with the company's Mission Experience working remotely using Slack, Google Meet, etc. Experience working on projects with 3 or more people Experience participating in existing projects and catching up on service content and source code Able to make decisions through constructive and logical discussions Able to communicate smoothly within and outside of the team and with other departments 【WANT】 Understanding of Scrum Experience with Docker and other container related technologies Experience with dbt Experience in operating BI tools such as Looker, Redash, Tableau, etc. Experience building and operating systems that incorporate machine learning Able to continuously improve the DX (Developer Experience) Experience in publishing and contributing to OSS Experience in problem discovery - interviews - requirement definition - specification development

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Welfare
・Full social insurance
・Commuting allowance *Up to 30,000 yen/month
・Salary increase based on performance (twice a year)

Holiday
120 days off per year
2 days off per week (Saturday and Sunday), national holidays
・Relaxation leave (in addition to annual paid vacations, 5 days of paid leave per year are granted on the first day of employment, and 5 days per year thereafter)
・Annual paid leave
・Year-end and New Year vacations
・Celebration or condolence leave
・Maternity leave

<Employee Stock Ownership Plan>
A system that allows employees to purchase the company's shares.

<Double Timee Day>
Employees who work using the Timee app will receive additional compensation (up to a maximum amount).

<Book Purchase>
Company purchases books necessary to deepen knowledge of the industry.

<Subsidy for seminar expenses>
Subsidizes the cost of attending seminars necessary for work.

<Shuffle lunch expense subsidy>
Subsidizes the cost of a weekly shuffle lunch between departments.

<Club activities>
Subsidies for club activities to encourage interaction through hobbies and other activities

<Team building>
Allows employees to spend a certain amount of their budget as they wish in order to stimulate team communication.

<Marriage gift money>
Provide congratulatory money to employees who get married

RECRUITMENT PROCESS

Document screening → First interview (Manager or higher) → Second interview (Technical Director) → Final interview (CTO)

The selection process is subject to change.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Cloud / Infrastructure / DevOps tools

AWS Google Cloud

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

【Recruitment Background】
With the rapid business growth, the organization is now at the point of promoting organization to build the future business foundation, and is working to form a development system that can respond to the speed of business growth through aggressive technological investment.
Since its early days, the company has emphasized data-based decision making in its business operations, and a culture of “using data is a matter of course” is strongly rooted in the company's operations.

Until now, the company has been building a foundation for data utilization in line with its rapid business expansion. However, they face a number of issues related to improving data reliability, including product operations, internal policies, and requests from clients, which have been increasing rapidly.

【Responsibilities】
You will utilize SRE practices within the DRE (Data Reliability Engineering) group. In addition to building and operating a highly scalable data collection infrastructure that provides reliable data for all events requiring data such as data-driven decision making and products utilizing machine learning, you will be responsible for creating business value through data utilization using the data infrastructure.

Identification and resolution of issues to promote data utilization
Data collection and processing from various data sources
Design and operation of tables using GoogleCloud (BigQuery)
Definition and maintenance of SLO and SLI for data collection infrastructure
Management and operation of data analysis tools
Appropriate documentation of various designs, etc.

【Technology Stack】
【Development Languages】
- Python
- Shell Script
- LookML etc.

【Tools】
・Embulk
・Digdag
・dbt
・BigQuery
・trocco
・fivetran
・Redash, Looker Studio
・Terraform, Looker, etc.

【Attractiveness of working as a DRE/Data Engineer for the company】
In order to continue to sincerely address major social issues in the Japanese labor market, the scale of the business must be more strategic than ever before, and the organization and systems must become sustainable.
You can be involved in the creation of systems, processes, and organizations for the next leap forward as a participant in this process.
There is already a culture in which data utilization is a matter of course, and there is a great need for data analysis and utilization. The company aims to create not only a “data infrastructure for analysis” but also a “data infrastructure as an internal information infrastructure,” and you can be involved in building a data infrastructure that will have an impact on the growth of the business.
In addition to building data infrastructures, we are also able to take responsibility for the utilization of data beyond that point, which gives us the satisfaction of creating a direct business impact. This leads to investment in the data infrastructure and makes it easy to take on new challenges.
You will gain experience in developing, growing, and maintaining quality based on data.
Within the DRE team, there is a PO who is building the data infrastructure while conducting user interviews, etc.
You will be able to experience the sequence of data creation, processing, and delivery to users. Therefore, the DRE team is also focusing on data quality assurance as it is required to build a data infrastructure that is easy to use.

【Data handled】
Access logs of app users and company users, information on recruitment details
Information related to matching
Data related to advertising effectiveness, such as review and evaluation information and app installations
Data related to inquiries
Data on sales activity information
Various data received from corporate usersWe handle the above data.

【Features of the Data Engineering Department】
The Data Engineering Department as a whole holds study sessions approximately three times a week. Study sessions are also held across divisions, and those who are interested can participate in them, so there are many opportunities to learn about areas of interest.
There is a system to support growth so that each individual can work autonomously to improve their technical skills.
Flextime x remote work is available, so you can choose an environment where you can focus on your own work.
　*There is a system that supports the optimization of each person's home environment for remote work.
The organization has a high level of psychological safety, making it easy to ask for help and advice.
　*Refer to the article “We held a study session on psychological safety.
The company has a good soil for utilizing data. In addition, many employees, including management, understand the importance of data.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Welfare
・Full social insurance
・Commuting allowance *Up to 30,000 yen/month
・Salary increase based on performance (twice a year)

Holiday
120 days off per year
2 days off per week (Saturday and Sunday), national holidays
・Relaxation leave (in addition to annual paid vacations, 5 days of paid leave per year are granted on the first day of employment, and 5 days per year thereafter)
・Annual paid leave
・Year-end and New Year vacations
・Celebration or condolence leave
・Maternity leave

<Employee Stock Ownership Plan>
A system that allows employees to purchase the company's shares.

<Double Timee Day>
Employees who work using the Timee app will receive additional compensation (up to a maximum amount).

<Book Purchase>
Company purchases books necessary to deepen knowledge of the industry.

<Subsidy for seminar expenses>
Subsidizes the cost of attending seminars necessary for work.

<Shuffle lunch expense subsidy>
Subsidizes the cost of a weekly shuffle lunch between departments.

<Club activities>
Subsidies for club activities to encourage interaction through hobbies and other activities

<Team building>
Allows employees to spend a certain amount of their budget as they wish in order to stimulate team communication.

<Marriage gift money>
Provide congratulatory money to employees who get married

RECRUITMENT PROCESS

Document screening → First interview (Manager or higher) → Second interview (Technical Director) → Final interview (CTO)

The selection process is subject to change.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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