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hoặc
Nội dung công việc
At CADDi, we have a massive amount of technical drawings, corresponding quotations, along with data describing the required manufacturing processes. By processing these data into a form that is easier to utilize and quickly implementing the cycle of hypothesis testing, we aim to find answers to the problems faced by the manufacturing industry.
Besides what we already have, there is a lot more data out there that hasn’t been fully utilized. Assessing valuable data and preparing it for utilization is the key to taking the burden off this industry.
Responsibilities
Design and implementation of data infrastructureManufacturing cost estimation data
Transaction performance data
Manufacturing control process data
Usage data for various products
Analysis of base data to obtain hypotheses concerning business and operational improvement
Build data processing pipelines in cooperation with algorithm designers
Development Environment
Development languageFrontend: HTML, CSS, TypeScript
Backend: TypeScript, Rust, Kotlin
FrameworksFrontend: React, Apollo, Next.js, styled-components, WebGL, WebAssembly
Backend: Rust (tokio, tonic, diesel), Kotlin (Micronaut, Exposed), Node.js (express, NestJS)
Infrastructure: GCP, GKE
Database: PostgreSQL, Firestore
API: GraphQL, REST, gRPC
Authentication: Auth0
Development tools: GitHub, CircleCI, Figma, Sentry, DataDog, Storybook
Communication tools: Slack, Discord, JIRA, Miro
Yêu cầu
Qualifications
An understanding our mission to unleash the potential of manufacturing
Experience using SQL for analysis
General knowledge of Linux-based infrastructure
General knowledge of public cloud services
Familiarity with container technologies such as Docker
Experience using version control systems such as Git
Proficiency in English
Preferred Qualifications
General knowledge of computer networking
Experience operating container-related technologies such as Kubernetes, etc.
Hands-on experience with declarative infrastructure-as-code technologies (terraform, puppet, ansible, etc)
Experience with cloud providers such as AWS, GCP, or Azure
Experience with data pipeline technologies such as Airflow, Apache Beam, Spark, etc.
Experience monitoring data pipelines with modern solutions such as Datadog, New Relic, Grafana, etc
Experience with production use cases of Elasticsearch
Experience in application development or analysis work with Rust, Python, MATLAB, or R
Loại hình công việc | Khác |
---|---|
Hình thức tuyển dụng |
Nhân viên chính thức |
Thu nhập năm tham khảo | - |
Nơi làm việc | 東京都 |
Thời gian làm việc |
フレックスタイム(コアタイム11:00~16:00) 休憩1時間含む、時間外労働あり |
Thời gian thử việc | Có |
Ngày nghỉ |
Saturdays, Sundays,
|
Chế độ đãi ngộ, phúc lợi xã hội |
・ Transportation expenses (up to 30,000 yen)
For overseas candidates
|
Thông tin khác |
Message from co-founder CEO Kato and CTO Kobashi
|
Việc làm khác
Đặc trưng công ty
Có dự án sử dụng tiếng Anh
Phát triển sản phẩm của công ty (công ty Product)
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