KOMOJU by Degica Logo

KOMOJU by Degica

Data Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Tokyo
Mid level
In-Office or Remote
Hiring Remotely in Tokyo
Mid level
The Data Engineer will design, develop, and maintain data pipelines, optimize data models, and ensure data quality to support business decision-making.
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Description
About KOMOJU

KOMOJU (by ) is the leading cross-border payment gateway for Japan. We power payments for companies like video game distribution platform Steam and the popular mobile app TikTok. Today we help thousands of merchants by providing them with the payment infrastructure they need through developer-friendly API’s to integrations on popular platforms like Shopify and Wix; we help our merchants grow in all markets they are expanding.

About the position

We are looking for an experienced Data Engineer who can design, maintain and optimize our data pipelines and infrastructure. The ideal candidate will help us transform raw data into valuable insights that drive business decisions across the organization.

As a Data Engineer, you will work closely with the business and engineering teams to develop scalable data solutions that enable efficient data processing, storage, and retrieval.

You'll be part of growing the organization’s data maturity, making data accessible and actionable. Your work will directly impact how teams make decisions, improve products, and deliver better experiences to our merchants and customers.

Responsibilities
  • Design, develop, and maintain scalable data pipelines to extract, transform, and load data from various sources.
  • Implement and optimize database schemas, data models, and ETL processes.
  • Collaborate with data analysts, engineers and other stakeholders to understand data requirements and deliver appropriate solutions.
  • Build and maintain data infrastructure to support analytics and reporting needs.
  • Ensure data quality, integrity, and security throughout the entire data lifecycle.
  • Automate and improve data collection processes to increase efficiency and reduce manual tasks.
  • Monitor and troubleshoot data pipeline issues to ensure smooth operations.
  • Stay current with emerging technologies and best practices in data engineering.
Requirements
  • 3+ years of experience in software engineering with interest in Data Engineering
  • Experience engineering backoffice software and testing backend code.
  • Ability to optimize queries and improve database performance.
  • Experience with git workflow and CI/CD pipelines.
  • Knowledge of data modeling concepts and techniques.
Nice to Haves

These aren't required, but be sure to mention them in your application if you have them.

  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Proficiency in Ruby or Python.
  • Familiarity with AWS services (e.g., Redshift, S3) and infrastructure as code (Terraform) is a plus.
  • Strong proficiency in SQL and experience with database systems (PostgreSQL, MySQL, etc.).
  • Background in payments or fintech industry.
Benefits
  • At Degica, we embrace remote work while also offering office space for those who prefer in-person collaboration
  • 10 days regular vacation, additional 5 days summer, and 5 days winter vacation
  • Paid birthday holiday
  • Budget for self-learning allowance, to ensure our employees’ skills remain current
  • Access to the O’Reilly Learning Platform
  • Language training for Japanese/ English
  • Twice a week office lunch

Top Skills

AWS
Azure
Data Engineering
ETL
GCP
Git
MySQL
Postgres
Python
Ruby
SQL
Terraform

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