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 in financial technology.

The role involves designing and implementing scalable data pipelines, optimizing data workflows, and maintaining a Data Lakehouse environment. You'll work with modern technologies including Databricks, Airflow, Lambda, and Terraform, while ensuring high performance and reliability of data systems. The position requires strong expertise in data engineering with 5+ years of experience and proficiency in languages like Scala, Python, and SQL.

PayPay offers an attractive work environment with their "Work From Anywhere at Anytime" policy, providing complete remote work flexibility within Japan. The company provides comprehensive benefits including 401K, social insurance, visa sponsorship, and relocation support. The work culture emphasizes work-life balance with super flex time, generous paid leave, and special incentives based on performance.

This is an excellent opportunity for experienced data engineers who want to make an impact in a fast-growing FinTech environment while enjoying the benefits of remote work and a supportive, diverse workplace culture.