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Updated 2025-04-23
Activated 2025-04-23

Data Engineer
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This posting is managed by: bloomtech.inc
Company Name Company is not publicly visible
Job Type
bloomtech.inc
IT (PC, Web, Unix) - Front-End Engineer
IT (PC, Web, Unix) - Fullstack Engineer
Industry Telecommunications/Information Services
Location Asia Japan Tokyo Shibuya

Job Description [Recruitment background]
In the coming phase of the company, we will further accelerate our business growth by evolving the matching algorithm, so we would like to strengthen our team by welcoming new personnel who can build and operate data integration between the product backend and the search engine (ElasticSearch) to improve the search experience.

[Organizational structure of the department you will be assigned to]
You will be assigned to the "R&D Group".

The R&D Group is composed of three teams:
The "Search and Recommendation Growth Team", "Marketing Development Team", and "ML and Data Infrastructure Team".
Engineers account for about 1/3 of all employees, with about 80 engineers on staff, and new members are being added every month.

[What we want you to do]
In order to expand our service, our mission is to provide Coconala users with a high-quality experience, starting with the search system used by users.
To achieve this, you will be in charge of data engineering in the R&D Group. You will be responsible for building and operating a data infrastructure (DWH) and ETL environment (data extraction, processing, and export) that provides reliable data for activities that require data, such as improving search experiences using machine learning and data-driven decision-making.

Specifically
Platform design/construction/operation of search system
Platform design/construction/operation of recommendation system
Platform design/construction/operation of fraud detection system
Define and maintain SLO, SLI of data collection platform
Manage and operate data analysis tools

[Who will you interact with and how?]
Collaborate with the data science department to analyze KPIs related to product matching, data integration with BI environment, joint development of recommendation functions, etc.
Collaborate with the product management department to jointly develop UX improvements for search/recommendations, etc.
Collaborate with the CS/health department to build fraud detection algorithms and detection platforms, etc.
Collaborate with the infrastructure department to build machine learning platforms and microservices for search platforms, etc.
Company Info With the vision of "creating a world where everyone can live their own story," we operate "Coconala," an online skills marketplace where people can buy and sell "knowledge, skills, and experience." Over 800,000 services are listed across over 450 categories. We also offer "Coconala Business," "Coconala Legal Consultation," and "Coconala Agent," allowing people to consult with and request advice from experts and professionals on everything from business to personal matters.

[Business Description]
・ Operation and development of the skills market "Coconala"
・ Operation and development of "Coconala Legal Consultation"
・ Operation and development of "Coconala Pro," "Coconala Consult," "Coconala Assist," and "Coconala Tech"
Working Hours Flextime system
Job
Requirements		 <Required skills>

- Experience building and operating a cloud-based data infrastructure (DWH) (especially experience with GCP, AWS, or Azure)

- Experience building and operating an ETL environment (data extraction, processing, and export)

- Development experience using Python

- Experience managing and operating data analysis tools (Looker, Redash, Tableau, etc.)

<Welcome skills>

- Experience and knowledge related to fraud detection

- Experience developing machine learning models

- MLOps experience (design / building / operation)
Japanese Level Business Level(JLPT Level 2 or N2)
Salary JPY - Japanese Yen JPY 5000K - JPY 12000K   
Other Salary
Description		 Social Insurance
Holidays Five-Day Workweek
Winter Holidays
Paid Holidays
Child-care Leave
Job Contract
Period		 Full-time employment
Nearest Station Shibuya-ku, Tokyo
*Hybrid work
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