English summary for screening — check the original posting before applying.
Medii is a startup focused on solving healthcare challenges with the mission "Healthcare for All, Leaving No One Behind." They are seeking a Data Engineer to build and operate data pipelines for their award-winning products, Medii E-consult and Medii Q. This role is crucial for expanding data infrastructure to support business growth and decision-making across the company.
Must-haves
- Practical experience with SQL for aggregation and data modeling.
- Experience implementing data processing with Python or similar languages.
- Experience implementing and managing data models using dbt or Dataform.
Nice-to-haves
- Experience designing and implementing data models (data marts, intermediate tables).
- Experience translating ambiguous business requests into defined metrics and implementing them.
- Experience building or operating systems to prevent data errors (testing, reviews, monitoring).
- Experience with cloud data warehouses like BigQuery.
- Experience designing and implementing data integration using APIs for external SaaS (e.g., HubSpot, KARTE).
- Experience operating data handling rules like access control, PII masking, and audit logs.
- Experience handling data integration failures and implementing permanent solutions.
- Experience designing and operating dashboards with tools like Looker Studio.
Tech stack
SQLPythondbtDataformHubSpotKARTEBigQueryClaudeGeminiLooker Studio
Work style
Hybrid: Onboarding requires 1-2 days/week in the Tokyo office (Shinjuku). Remote work is possible after onboarding.
Other notes
Salary: 6,000,000 - 8,500,000 JPY per year. Flexible working hours with core time from 10:00 to 15:00. Standard working hours: 8 hours/day. Overtime: Approximately 20 hours/month.