Data Engineer

At Hive Streaming, we enable the world’s largest enterprises to use live video as a strategic tool for communication, alignment, and impact. Trusted by more than 130 global customers, Hive combines market-leading video distribution technology with unique communication analytics, helping organizations ensure flawless video experiences and measure how effectively messages reach, engage, and align employees.

Our users are IT and Network professionals who rely on Hive every day to ensure flawless video delivery, Event Producers who ensure optimal video experience during internal company events, Leaders and Communications professionals who plan and execute powerful video-enabled strategies to deliver measurable impact.

What do we do - really? No better way to explain what Hive actually does than with a video 🎥 Watch the video below to find out more 👇🏼

About the role

We are looking for a versatile data engineer with strong software engineering skills to join our Partner Ecosystem team. In this role, you will be a major contributor in designing and implementing the big data pipelines - real-time and batch-powering our products. Moreover, you will contribute in enabling Hive Products by working closely with our partner video platforms, such as Microsoft Teams Town Hall and Vimeo!

Working as a Data Engineer, you will:

Design and implement big data pipelines on top of our data platform.

Develop solutions leveraging our tech stack: Spark/Scala, Databricks and Delta lake.

Work on end-to-end delivery of data to our applications.

Contribute to shaping our product by bringing insights and innovative ideas to discussions.

Collaborate with the team to engineer high-quality and reliable solutions.

Help analyze our data to improve our products

Working in Partner Eco, you will:

Design and implement our clients for the collection of data

Work closely with our partner developers to enable Hive with high quality

Own the data from the collection to its manipulation

Alig