Data engineer/scientist with passion for stream processing and ml/stats

About this job

Job type: Full-time
Experience level: Mid-Level, Senior
Role: Backend Developer
Industry: Data & Analytics, Machine Learning, Retail Analytics
Company size: 1-10 people
Company type: Private

Technologies

go, apache-kafka, stream-processing, machine-learning

Job description

We are looking for a new member to join our data engineering and scientist team who

• Has a passion for developing performant stream processing applications and experience from orchestrating batch processing too
• Is interested in the art and science of picking the right data structures
• Can write a SQL query in their sleep, knowledgable in a bit of both of traditional relational row-oriented databases such as Postgres but also columnar databases such as ClickHouse — as well as good understanding of in-memory/on disk formats such as Arrow and Parquet
• Has written one, two or three microservices and learned a bit about the dos and don'ts
• Is no stranger to math and has experience from or experimented with machine learning and statistics and would not mind being part of designing an ml/stats-backed application that can pump out insights and predictions at a high pace
• Wants to be yet another catalyst in a team that loves a bit of challenge and fun :) 

At Formulate we do all of this + more! 

We are mainly a Go shop, and build on top of e.g. Apache Kafka, ClickHouse, Postgres, gRPC, Kubernetes. 

Sounds interesting? Let's talk!