Do you want to join a fast-paced startup and work on the bleeding edge of recommendation systems, where your work immediately impacts the user experience for millions of users? We are looking for a Data Engineer who thrives in a fast-moving environment.
What you will be building:
Recommendation systems that are guaranteed to always show relevant recommendations for any scenario and that are easy to maintain, deploy and improve.
We need someone who we can count on to:
🙋 Own: Data pipelines that are easy to work with as well as creating and improving tooling to deploy, introspect and monitor our recommendation systems to constantly make them better.
💻 Teach: What data should we collect and when? Tradeoffs between iteration speed and complexity of data platform architecture. How to maintain data warehouse structure and schemas that are easy to work with.
🚴 Improve: How we operate our data pipelines, iteration speed, and robustness of our entire system, to delight the end-users of our product.
Desired skills and qualities
We expect you to: