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You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.
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We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
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As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.
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Foster a culture of innovation, collaboration and continuous improvement in the Digital Analytics Team with measurable process improvements and tools including data warehouse, SQL, PowerBI, Google Looker Studio, Survey Monkey, Salesforce Einstein and Personalization.
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Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Experience with public clouds (AWS, Azure, Google Cloud) Location: This initiative spans many teams that are home-based in EMEA, Americas and APAC time zones, so we can accommodate candidates in almost any location.
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Experience with container technologies (Docker, LXD, Kubernetes, etc.) Professional or academic software delivery using Python or Golang. Work with both Kubernetes and machine-oriented open source applications.
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As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
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Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. Proven track record of building highly automated machine learning solutions for the cloud. Debug issues and interact in public with upstream and Ubuntu communities.
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Canonical is a pioneering tech firm at the forefront of the global move to open source. Hands-on experience with machine learning libraries, or tools. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.
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Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Design, build and maintain solutions that will be deployed on public and private clouds and local workstations.
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The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
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In addition to base pay, we offer a performance-driven annual bonus or commission. Track record of going above-and-beyond expectations to achieve outstanding results. The work ethic and confidence to shine alongside motivated colleagues.
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Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer. Working knowledge of cloud computing. We recruit on a global basis and set a very high standard for people joining the company.
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Experience working on an open source project. Whatever your identity, we will give your application fair consideration. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
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google analytics data warehouse visualization jobs Title: analytics in Holdrege, Nebraska
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