Software Engineer (Data Engineer)

A fintech company that has surpassed 65 million users in about 6 years since starting its service in 2018, with diverse members from about 50 countries and regions.
Data
Mid-Level Software Engineer
Remote
1,000 - 5,000 Employees
3+ years of experience
Finance

Description For Software Engineer (Data Engineer)

PayPay, a fintech company that has grown to over 65 million users in about 6 years since its launch in 2018, is seeking a Software Engineer (Data Engineer) to join their team. The company is composed of diverse members from about 50 countries and regions.

As a Data Engineer at PayPay, you will be responsible for preparing and maintaining a data analysis infrastructure that allows PayPay employees to effectively utilize various internal data. Your mission will be to support business decision-making and improve operational efficiency through the development and operation of this data platform.

Key Responsibilities:

  • Design data architecture and develop/operate various components of the data analysis infrastructure
  • Define KPIs and other metrics, and coordinate with internal departments
  • Develop and improve guidelines for company-wide data governance promotion
  • Implement security measures and improve operational tasks

Recent Projects:

  • Creation of data warehouses (company-wide marts, department-specific marts, master data management)
  • Improvement of GCP operations (BigQuery monitoring, IAM design, project segmentation)
  • BI construction (supporting a wide range of tasks from data acquisition to BI implementation)
  • Stable delivery of KPI reports necessary for management
  • Comparative re-examination of Redshift and BigQuery

Tech Stack:

  • Python
  • GCP (BigQuery, Composer)
  • Docker, Terraform
  • Fivetran
  • Looker (Data Portal)

The ideal candidate will have strong logical thinking skills, the ability to communicate effectively with stakeholders, and a proactive attitude towards identifying and solving challenges. Experience with job schedulers like AirFlow, Luigi, or JP1, and familiarity with large-scale data analysis platforms using Redshift or BigQuery would be advantageous.

PayPay offers a flexible work environment with their WFA (Work From Anywhere at Anytime) policy, super-flex time system, and various benefits including annual leave, personal leave, and performance-based bonuses. Join PayPay to contribute to the rapid growth of cashless payments and financial life platforms in Japan.

Last updated 4 months ago

Responsibilities For Software Engineer (Data Engineer)

  • Prepare and maintain data analysis infrastructure for effective data utilization
  • Support business decision-making and improve operational efficiency
  • Design data architecture
  • Develop and operate components of the data analysis infrastructure
  • Define KPIs and other metrics
  • Coordinate with internal departments
  • Develop and improve data governance guidelines
  • Implement security measures
  • Improve operational tasks

Requirements For Software Engineer (Data Engineer)

Python
Kubernetes
  • 3+ years of experience in application (custom) development or development/operation of components constituting a data analysis infrastructure
  • Experience in system development using cloud environments such as AWS, GCP
  • Basic knowledge of general system development (database, network, security, etc.)
  • Business-level or higher Japanese language skills

Benefits For Software Engineer (Data Engineer)

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Social insurance (health insurance, welfare pension, employment insurance, workers' compensation insurance)
  • Corporate defined contribution pension system
  • Annual leave
  • Personal leave
  • Performance-based bonuses
  • Overtime pay
  • Late-night work allowance
  • Work from home allowance (100,000 yen per year)

Interested in this job?

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