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 is crucial in designing and implementing a robust Data Engineering Platform using cutting-edge technologies like Spark, Databricks, and Delta Lake. 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 the financial technology sector.

The role involves building and maintaining scalable data pipelines, optimizing data workflows, and implementing best practices for data governance and security. You'll work with modern tools and technologies including Databricks, Airflow, Lambda, and Terraform, while collaborating with cross-functional teams to ensure seamless data integration across the organization.

The ideal candidate should have 5+ years of experience in data engineering, strong technical skills in Scala/Python/SQL, and expertise in data warehouse technologies. The position offers competitive benefits including 401K, visa sponsorship, relocation support, and flexible working arrangements with a remote work option.

This is an excellent opportunity for experienced data engineers who want to make an impact in a fast-growing fintech company while working with cutting-edge technologies and contributing to building a scalable data platform that supports millions of users.