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- Data Engineer
JOB ID 25288
Data Engineer
- IT, Data Analyst
- Tokyo
- ¥7,000,000~¥12,000,000
We are a company that works to solve the social issues facing the logistics industry. Business-to-business logistics in particular is extremely complex, with diverse stakeholders and structural dynamics. Until now, operations at each site have evolved individually, and we are developing SaaS-type applications that redefine and support these operations through digital transformation (DX).
Our main services include solutions related to logistics processes, such as truck reservation acceptance, dynamics management, vehicle dispatch ordering and management, and production, sales, and inventory management, to support the optimization of business-to-business logistics.
All of these services are built on a common infrastructure, which also stores big data related to logistics. With this common platform, we are promoting the construction of a "logistics information platform" that aims to optimize the entire industry, avoiding inefficiencies caused by individual optimization.
Currently, a large number of companies and logistics providers, mainly in the daily necessities and food industries, have introduced the service, with approximately 27,000 business locations nationwide and over 700,000 drivers using the service.
Currently a 2-person team, you will develop and operate a data infrastructure centered on BigQuery that contributes to the optimization of the entire industry by utilizing the logistics big data accumulated on a daily basis From designing a pipeline for a multi-cloud configuration that links product data on AWS to Google Cloud, You will work with the team to create new value, from designing pipelines for multi-cloud configurations that link product data on AWS to Google Cloud, to data modeling with dbt, to developing data products that utilize BI tools such as Looker.
Job Description
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- Responsibilities
- Data pipeline design, construction, and operation in a multi-cloud environment (AWS to GCP)
- Data modeling and ETL development using dbt
- BI dashboard development and internal deployment using Looker / Looker Studio
- Promotion and support of data utilization
- Data catalog and data Development and operation of data catalogs and data products
Culture and Support System]
- Regular 1-on-1 meetings
- Onboarding through trainer buddy system
- Open communication culture
- Improvement of overall team skills by sharing technical issues and knowledge
[Technology Stack]
- Development languages: SQL / Python / Go / Bash
- Infrastructure and middleware: Google Cloud, AWS, Docker, Terraform
- Data infrastructure: BigQuery
- Storage: Aurora, DynamoDB, S3, Google Cloud Storage
- ETL: Fivetran, Bigquery Data Transfer, Google Storage Transfer, dbt, AWS Glue, AWS Athena
- IaC: Terraform
- BI: Looker Studio, Looker
- Code Management: GitHub
- Communication tools: Slack, Notion
-
- Requirements
- -Experience working collaboratively in teams
-Experience in database design and operation
-Basic programming skills
-
- Preferred
- - Experience in building data infrastructure in a multi-cloud environment
- Experience in back-end development
- Experience in utilizing dbt and ETL tools
- Experience in planning and implementing data governance measures
- Experience in data analysis projects
- Experience in utilizing AI and generative AI
■ Desired Personality:
- Psychological safety and ability to grow with the team
- Technical Ability and proactivity to build trusting relationships
- Ability to work with members from diverse backgrounds
- Deep interest in the logistics domain
- Desire to contribute to solving issues in the logistics industry through data
- Ability to proactively share technical expertise and help the entire team grow
-
- Location
- Tokyo
-
- Work Style
- Remote working possible, Flex working possible
-
- Salary
- ¥7,000,000~¥12,000,000
-
- Attractive
Points - Stock options available, No relocation, Over 50% Mid-Career Hires, Childcare support system, Weekends and holidays off, Venture Company, New businesses and services
- Attractive
Consultation
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