About the Role
- Build and improve large-scale data platforms that support an AI-powered SaaS product
- Work with tens of terabytes of enterprise data used by real business users
- Design data foundations for future AI / data science use cases
- Work on a proven product with real users and real impact
Responsibilities
Design, build, and improve big data pipelines for a SaaS + database productDevelop and maintain data pipelines for :Web data crawlingData cleansing and enrichmentBuild data quality monitoring and validation systemsImprove scalability, performance, and cost efficiency of data infrastructureDesign data platforms and data quality foundations with future analytics and AI usage in mindTech Stack
Data Ingestion
Python (Scrapy)AWS Fargate (Amazon ECS)Amazon Managed Workflows for Apache AirflowData Storage
Amazon S3Amazon Aurora PostgreSQLData Processing
Apache Spark (Databricks)Infrastructure & Tools
AWS, DatabricksGitHub, Slack, Notion, Asana, Google WorkspaceCursor / Claude Code (AI-assisted development, refactoring)CodeRabbit (AI-based PR review)n8n (AI workflow orchestration)Requirements
Experience processing data using SQL and PythonExperience working with public cloud platforms (AWS, GCP, etc.)Currently residing in Japan, or willing and able to relocate to JapanBusiness-level Japanese communication skills (equivalent to JLPT N1)Nice to Have
Experience with Apache Spark / PySparkExperience with AWS analytics servicesExperience using DatabricksExperience in data management or data quality initiativesInterest in or experience with DataOps conceptsEmployment & Benefits
Employment type : Full-timeSalary : JPY 4,000,000 – 10,000,000 (depending on experience and skills)Fully remote work within JapanFull flex-time system (no core hours)Stock options availableWhy Join Us?
Build and operate data platforms at real production scaleWork at the intersection of large-scale data and generative AIJoin a startup with proven PMF entering a major growth phaseDesign data foundations that directly impact product value and decision-makingShape data engineering practices and culture from an early stageTo apply for this position, please visit our official careers page and submit your application via the link below :
https : / / herp.careers / v1 / salesnow0801 / aLtdW6WbCZ0h