Data Engineer, DaaS

  • Remote OK - Anywhere in Japan
  • Full-time
  • May 22, 2025
Conditions
location-icon
Apply from Anywhere 👍
visa-icon
Relocation to Japan 👍
(Overseas visa sponsorship supported)
Requirements
language-icon
Language Requirements
Japanese: Not Required 👍
English: Business Level
career-icon
Minimum Experience
Mid-level or above

PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform to support our growing business needs is more critical than ever. We are looking for a Data Engineer for the DaaS team. The DaaS team’s responsibility is to design, implement, and operate this platform by using cutting edge technologies such as Spark, Hudi, Delta Lake, Scala, and AWS suite of data tools. We are looking for talented Data Engineers to join our team and help us scale our platform across the organizations.

 

Main Responsibilities

  • Design, develop, and maintain scalable data ingestion pipelines using Databricks, Airflow, Lambda, and Terraform
  • Optimize and manage large scale data pipelines to ensure high performance, reliability, and efficiency
  • Implement data processing workflows using Spark, Delta Lake, PySpark, and Scala
  • Maintain and enhance Data Lakehouse with Unity Catalog for effective data management and discovery
  • Build automation, framework, and improved tooling to support end to end data engineering workflows
  • Collaborate with cross-functional teams to ensure seamless data flow and integration across the organization
  • Implement best practices for observability, data governance, security, and compliance

 

Qualifications

  • 5+ years experience as a Data Engineer or in a similar role
  • Hands-on experience with Databricks, Delta Lake, Spark, and Scala
  • Experience designing, building, and operating a DataLake or Data Warehouse
  • Knowledge of Data Orchestration tools such as Airflow, Dagster, Prefect
  • Familiarity with change data capture tools like Canal, Debezium, and Maxwell
  • Experience in at least one primary language (e.g. Scala, Python) and SQL (any variant)
  • Experience with data cataloging and metadata management using AWS Glue Data Catalog, Lakeformation, or Unity Catalog
  • Proficiency in Terraform for infrastructure as code (IaC)
  • Strong problem-solving and debugging skills to troubleshoot complex data issues
  • Excellent communication and collaboration skills
  • Able to make sound decisions and learn quickly while factoring in complex technical contexts

PayPay, a FinTech company that has achieved more than 69M users (as of May 2025) within around six years since its launch in 2018, is rapidly expanding its business scale as a payment platform used by approximately one out of every two smartphone users in Japan.

The company has a diverse team of professionals from more than 50 countries and is building a world-class engineering organization.

PayPay's biggest competitor is "cash". They are seeking people who can accept this challenge positively, brush up on the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.

View PayPay's company page
Data Engineer, DaaS at PayPay
APPLY NOW  ➜