Data Platform Engineer
5 days ago
Join us in building a comprehensive automation suite to deliver multi-cloud and on-premise data solutions for the enterprise. As a member of Canonical's data platform team, you'll work collaboratively with a distributed team to manage and integrate Big Data platforms at scale.
Key RequirementsThis position requires hands-on experience in software development using Python and expertise in distributed systems like Kafka and Spark. You'll also need to have a Bachelor's degree in Computer Science or a related field and be willing to travel up to 4 times a year for internal events.
- Collaborate with a distributed team to develop managed solutions
- Write high-quality, idiomatic Python code to automate new features
- Debug issues and interact with upstream communities publicly
- Develop domain-specific expertise on data systems to support other teams within Canonical
We provide a fully remote working environment, a personal learning and development budget of 2000 USD per annum, annual compensation review, recognition rewards, annual holiday leave, parental leave, employee assistance programme, opportunity to travel to new locations to meet colleagues twice a year, and priority pass for travel and travel upgrades for long haul company events.
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