Data stream processing is redefining what’s possible in the world of data-driven applications and services. Apache Flink is one of the systems at the forefront of this development, pushing the boundaries of what can be achieved with data stream processing.

Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production. Flink is also one of the most active and fastest-growing open source projects in the Apache Software Foundation.

One of Flink’s most popular APIs is SQL. Unlike many other systems, Flink features SQL as a unified API for batch and stream processing, meaning that a query computes the same results regardless whether it is executed on static data sets or data streams. Flink’s SQL support is the foundation for company-internal as well as publicly available data analytics services of enterprises, such as Alibaba, Huawei, and Uber.

data Artisans was founded in 2014 by the original creators of the Apache Flink project, and we’re building the next-generation platform for real-time data applications. We are tackling some of today’s biggest challenges in big data and data streaming.

Your role:

What you’ll do all day:

You will love this job if you …

… are familiar with the design of distributed data processing systems (e.g. Hadoop, Kafka, Flink, Spark)

… you know how to design and implement a relational database or query processor.

… you have a good command of Java and/or Scala and of course SQL.

… you like working together with an awesome open source community to tackle challenging problems.

… have great English skills and like to get in touch with users from around the world

… have at least Master’s level degree in Computer Science, mathematics, engineering or similar field

What we offer: