Cloud Data
vor 2 Wochen
What You Will Do be part of an international team that envisions and implements the roadmap of a mature cloud native Data Science Platform, currently serving more than 14 analytics teams and 400+ users. closely collaborate with key stakeholders from business data science teams and IT data Engineering teams to enable their capabilities on the DSP: Identify new requirements, analyze platform suitability, propose best practices and existing solutions through demos... act hands-on as a Data Engineer to onboard new use cases and optimize existing ones, with a special focus on ML engineering to help productionize ML and GenAI use cases. implement new components with Infrastructure as code (IaC), as well as creating templates to ensure best practices and standardization among analytics teams. What You Bring 3+ years of practical experience building data and ML pipelines on Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform. experience in Data Lake environments, preferably Databricks or Fabric, and with a strong knowledge of Spark and Open Table formats (Delta and/or Iceberg). proficiency with Python and SQL with a solid understanding of software development and automation concepts like CI/CD to build system critical data and ML pipelines (DataOps/MLOps). basic knowledge of cloud foundation services (IAM, networking, storage…), cloud costs management (FinOps) as well as tools to manage cloud infrastructure with IaC (Terraform/OpenTofu, Pulumi, bash scripting…). growth mindset and a very proactive attitude for continuous learning and development fluency in written and spoken English If you have any questions, check out our or call Yuliya Stoyko at . For this vacancy we only accept direct applications. Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background. What We Offer Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success. Personal Development You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering. Agile Working Methods Whether through scrum or design thinking, we solve exciting tasks together in teams.
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Cloud Data Engineer
vor 1 Woche
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Cloud Data Engineer
vor 1 Woche
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vor 1 Woche
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vor 2 Wochen
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vor 2 Wochen
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Sr Data Scientist – Google Cloud | Swizerland
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Azure Cloud
vor 24 Stunden
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Microsoft Partner Sales Manager – Cloud, Data and AI
vor 24 Stunden
Zürich, Schweiz EPAM Systems VollzeitMicrosoft Partner Sales Manager – Cloud, Data and AI Join to apply for the Microsoft Partner Sales Manager – Cloud, Data and AI role at EPAM Systems EPAM is looking for a Microsoft Partner Sales Manager to join our growing sales team in Zurich. You will be responsible for driving revenue related to our cloud offering by working closely with our internal...
