TypeScript and Redux (nice to have)
Elasticsearch (nice to have)
Neo4j (nice to have)
Our tech stack is Python (nice to have)
Most recent innovation in data tools has taken place in two areas : helping data engineers produce data, and helping data consumers (primarily data analysts and scientists, but increasingly everyone) consume that data.
Data warehouses and lakes are flooding with data, but the consumers still don’t know what exists and what to trust.
The biggest gap doesn’t sit in production or consumption of data but right between them. Data Engineers continuously report being bombarded by questions from users while striving to deliver it on time and with high quality.
Analysts and Data Scientists spend a huge amount of time answering questions around the source of truth of data, how it is usually used, how it gets produced and validating that it’s the right source for them to use.
Stemma solves this problem by providing an automation-first data discovery & catalog engine, built around Amundsen , an open-source data discovery engine used by 30+ companies like Lyft, ING, Square, and Instacart.
We’re very early stage : we’re looking for curious engineers who are excited to rapidly iterate on new ideas with customers and build a product from the ground up.
Every member of the Stemma team has the opportunity to meaningfully contribute to the direction of the product, business and the engineering culture.