We, at iPASS, leverage transit and e-payment data to drive our business. Being one of few companies powering Taiwan's main transportation, iPASS is uniquely positioned in the market as the cornerstone of the e-payment ecosystem.
Your role is crucial in helping the team investigate the data and provide analytical reports to support business decisions. You will also be instrumental in developing a flexible dashboard or API for third parties. Let's stay excited as we uncover the next chapter of the transit and the e-payment ecosystem.
Responsibilities
• Build and scale data orchestration services that support complex analysis across iPASS.
• Design and implement tooling for access management, monitoring, data controls, and self-service ETL creation.
• Review the data modeling practices of other teams.
Requirements
• 4+ years experience in the data warehouse space.
• Strong experience working with big data tools:Spark, Kafka, Hadoop, Druid, etc.
• Able to build clean, maintainable code in a production environment.
• Strong skill in Python and SQL.
• Experience in container technology, such as Docker.
• Experience with distributed systems and designing APIs.
• Knowledge in standard engineering methodology, such as unit testing, code reviews, etc.
Nice To Have
• Experience with modern development methodologies like CI/CD.
• Experience with any cloud services.
iPASS 一卡通是金管會核可的電子支付的機構,致力於提供便捷的支付服務,並利用數據技術持續發展創新的商業模式,為 FinTech 產業的創新領導品牌。
自成立以來,iPASS 一卡通以成為支付的基礎建設為使命,持續布建支付的應用場景,現行可使用場域已突破 45萬個據點,橫跨各式交通運具(捷運、台鐵、輕軌、YouBike…)與各式生活消費場景,其中生活繳費(水電、瓦斯、學雜費...)項目更是同業內最高的3,600項,全方位提供使用者便利與豐富的支付體驗。
iPASS 一卡通緊密與 LINE Pay 合作,實現全台最多人用的社群支付工具,使用者透過一卡通 MONEY 可以輕鬆在 LINE 社群中完成好友轉帳,以及揪團支付。目前一卡通 MONEY 的使用者已經突破 560 萬會員,每月轉帳金額也突破 103.7億,市占率為 74%; 電子支付帳戶的總儲值金額每月也突破 224 億,連續 18 個月破百億,市占率為 72%; 皆為業界第一!
iPASS 一卡通持續利用整合的儲值卡及電支數據協助賦能政府以及品牌夥伴。此外 iPASS 一卡通也積極將市場從台灣延伸到海外,發展相關跨境業務。iPASS 一卡通持續與時俱進開創支付服務的多元應用,利用全域數據成為支付服務的領導者!