仕事の詳細

[Data Engineer]
Annual salary: 6 million to 8 million yen
職種
ITエンジニア【システム開発・SE・インフラ】
Type: Engineer
場所:Tokyo

■Resume and work history written in Japanese are required (There is a possibility that your application will not be processed if you only have English documents).
■We are a recruitment agency conducting this recruitment on behalf of the companies seeking employees.
■Japanese N1 required.
■Required: Understanding of version control concepts and development experience using Git
- Experience building data pipelines
- Experience using data warehouse and query services (BigQuery, AWS Athena, Presto, Redshift, etc.)
- Experience using workflow management tools (Apache Airflow, etc.)
- Experience designing RDB
- Knowledge of data modeling and mining

Required years of experience (job type)
1 year or more
IT engineer [system development, SE, infrastructure] / data scientist, data mining engineer
*Experience in this job type is required to apply

Employment type
Full-time employee (indefinite contract)
Job description
We are building a data analysis platform to accelerate business development.

In response to the expansion of our business, in January 2024, we began building an ETL platform that can comprehensively analyze data scattered across individual products. We are currently building platforms in each of the three areas of data collection, analysis, and search, and are planning an influencer search system as the first product to use them.

We are also designing indicators for the search system. We need to clarify the characteristics of the data on SNS and the data of products, and promote quantitative selection work based on those indicators.

We are looking for a data engineer to accelerate the above efforts.

- You will be responsible for building a data pipeline on AWS
- You will be responsible for building a platform for collecting information from SNS
- You will be responsible for implementing a recommendation system and search system using machine learning/LLM
- (If possible) You will be responsible for data analysis and mining
- (If possible) You will aim for a career as a data scientist under the guidance of a DS advisor

[Expected work]
## Expected work
- Build a data pipeline using AWS services such as AWS Athena and AWS Glue
- Implement continuous improvements to the platform based on understanding business requirements and communicating with product managers
- Automate operational tasks for the platform using CI/CD
- (If possible) Configure the engine required for the search system

Other technologies may be adopted in the future

- Python
- AWS Redshift
- dbt
- Apache Airflow
- CDK tf
- OpenSearch

Recruitment background
Job content (scope of change)
Application requirements
## Application eligibility
- High school graduate or above
- Able to join within six months

## Required conditions
- Understanding of version control concepts and development experience using Git
- Experience building data pipelines
- Experience using data warehouse and query services (BigQuery, AWS Athena, Presto, Redshift, etc.)
- Experience using workflow management tools (Apache Airflow, etc.)
- Experience designing RDB
- Knowledge of data modeling and mining

Required years of experience (job type)
1 year or more
IT engineer [system development, SE, infrastructure] / data scientist, data mining engineer
*Experience in this job type is required to apply

Application category
Mid-career

## Welcome conditions
- Experience in data modeling and mining, and explanation skills
- Experience in application development (backend) using Ruby on Rails or TypeScript
- Experience in developing with communication with product managers as the core
- Experience in launching a system from scratch

## Desired profile
Our mission is to be a leader in the era of the individual. '
- You can work autonomously even in an uncertain environment
- You can mentor potential members

Annual salary: 6 million to 8 million yen

* Varies depending on the strengths you have as determined during the selection process
* Paid monthly in 12 installments

Bonus

None

Stock options

Yes
Bonus details

- SO system - Members who have grown rapidly and performed well will receive stock options as a special evaluation.

- Annual MVP system - MVP/rookie awards are selected once a year. Stock options and prize money are given as incentives. If you are selected as an MVT (most active team), you will be given the right to go to a super high-class meal together or a members-only restaurant in a certain dream world.

Work location
Tokyo

Work location details
28-1 Maruyamacho, Shibuya-ku, Tokyo, Shibuya Dogenzaka Sky Building, 8th floor

Work location (scope of change)
Possibility of transfer
None
Working hours
Flexible work hours
(Core time: 11:00-17:00)

### Benefits
- Salary revision twice a year
- Two days off per week (Saturdays, Sundays, and holidays)
- Full social insurance (health, welfare pension, employment, industrial accident)
- Full transportation expenses paid
- Overtime pay (paid for over 45 hours)
- Regular health check-up
- Book purchase costs paid
- Remote work possible 2 days per week (no prior notice required)
- Side jobs possible (application required)
- Free dress code, hairstyle, and nails

### Benefits (for engineers)
- HHKB, TrackPad, footrest, etc. provided!
- MacBookPro provided! Monitor also available!
- Aeron Chair Ergohuman class chair available!
- We will cover all costs for participating in seminars, etc.

- [Service usage fee] - You can use copilot and OpenAI API for free.

- [Article writing allowance]
If you write a good article, we will pay you an incentive of 10,000 yen per article.

- [Relocation allowance]
- We will subsidize the cost of relocation to shorten your commute time.

### Internal system

- Flextime system - You can flexibly choose your working hours, with 11:00-17:00 as the core time.

- Remote work system - You can work remotely two days per week (no prior notice required).

Holidays: Saturdays, Sundays, and public holidays
Vacation system: New Year's holiday, paid leave, special leave, maternity leave, special leave, special
Annual paid leave (10 days granted in the first year after joining the company for 6 months) 3 days of special leave granted for the first 6 months
Trial period
Yes

3-month trial period, no difference in salary or benefits

Number of employees
2

Selection flow
1. Document screening
2. 1st selection (online)
3. Technical selection (online)
4. Team interview (face-to-face)
5. Job offer

Other
Measures against passive smoking
Smoking room available