Data Engineer, DaaS

PayPay, a rapidly growing FinTech company with over 65M users, is seeking a Data Engineer to join their DaaS team. This role focuses on building and maintaining a robust Data Engineering Platform using cutting-edge technologies like Spark, Databricks, and AWS tools. The position offers an opportunity to work with a diverse team from over 50 countries and contribute to PayPay's vision of creating unprecedented future solutions.

The role involves designing scalable data pipelines, implementing processing workflows, and maintaining a Data Lakehouse environment. You'll work with technologies such as Databricks, Airflow, Lambda, Terraform, and various AWS services. The ideal candidate should have 5+ years of experience in data engineering, strong technical skills in Scala/Python/SQL, and expertise in data warehouse solutions.

PayPay offers an attractive work environment with their "Work From Anywhere at Anytime" policy, allowing complete remote work flexibility within Japan. The compensation package includes competitive salary, annual performance-based incentives, comprehensive benefits including 401K, health insurance, and visa sponsorship for international candidates.

The company culture emphasizes continuous learning, innovation, and professional growth. You'll be part of a team that values risk-taking and challenges conventional thinking, working on projects that directly impact millions of users. The role offers an excellent opportunity for experienced data engineers looking to make a significant impact in the FinTech industry while enjoying work-life balance and professional development opportunities.