Build & evolve Xendits data models
Xendit is an Indonesian fintech company that provides payment infrastructure across Indonesia. Xendit processes payments, runs marketplaces, disburses payroll and loans, detects fraud and helps other businesses grow exponentially. We serve these companies by providing a suite of world-class APIs and a dashboard UI that simplifies processes.
Our main focus is to build the most advanced payment rails for Indonesia, with a clear goal in mind to make payments in Indonesia simple, secure and easy for everyone. We currently serve local SMEs to some of Indonesias largest tech startups and also giant-sized businesses like Samsung. We process millions of transactions monthly, growing 25% month on month for the last 2 years. We are trusted and backed by some of the largest VCs in the world, and are alumni of the prestigious YCombinator (S15).
We are building a data team (think startup within a startup) that works on structuring Xendits data in a way that useful products can be made. For example, how do we detect fraud across multiple transactions and build a fraud model that provides useful information to our merchant customers.
We're looking for an experienced data engineer to bring structure to our vast amounts of data, making it digestible and build a data product business at scale. You would be responsible for building scalable data products that can be accessed by our customers via world-class APIs.
You may be a good fit if
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