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We are Hive Streaming, and we are a tech scaleup, that loves a good work-life balance, innovation, and empowering our employees.
We are working with multiple Fortune 500 customers, such as Microsoft, Ericsson, Adidas, Loreal, and Toyota, to name a few. During these unprecedented times, Hive Streaming is even more crucial as we support businesses to optimize their video experience by using our patented peer-to-peer technology.
Hive Streaming is now in an exciting growth phase, during the last 3 years we went from 30 customers to 130 customers. In 2020 we were recognized as SaaS company of the year in the Nordics. Hive streaming’s goal is to offer a great deal of analytical insight to help our customers fulfill the video event of their dreams. At the heart of these efforts is the Video Analytics team, which is currently building a completely new Data engineering solution.
When joining us as a Data Engineer
You will be a key player in powering the next generation of Hive analytics products! You will thereby play a major part in shaping the future of Hive's big data platform and as a data engineer at Hive, you will also take on the challenge to design and implement reliable and resilient stream processing pipelines at a very large scale (cool right?).
You’ll be joining us working in a focused team of Data Engineers to build the data platform, once that is built you will be joining our cross-functional Video Analytics team. This team is focused on a unique offering combining data on engagement, video quality, reach and network performance to offer actionable insights to our customers.
Here at Hive Streaming, we are proud of our innovation roots and love that we get to improve the product ourselves and that we get to keep the tech stack cutting edge. At Hive we want everyone to feel empowered, trusted, and encouraged. We also recognize the importance of creativity and have innovation days to foster this.
We would like for you to have:
- 2+ years of experience building data pipelines, ETL/ELT, and modeling.
- Good knowledge of Apache Spark's APIs and runtime architecture.
- Fluent in Scala and/or Python
- Experience working with NoSQL and more traditional SQL stores.
- Great communication skills in English, both verbal and written.
If this is you, then maybe we’re a perfect match?
If you have any questions, send an email to [email protected]