| FinOps Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Zara, TechRakers [email protected] Reply to: [email protected] We need a FinOps data person, building data lakes, connecting to cloud Provider APIs and other applications, visualization expertise with Power BI, and experience building dashboards. FinOps Data Engineer Qualifications Requirements: Bachelors degree or equivalent education, experience, and training in Computer Science, Data Science or a related field 5+ years experience as part of a team building reporting, business intelligence, and analytics solutions Applied experience with Public Cloud Governance and FinOps best practices Applied experience with Databricks, Grafana, and Power BI Applied experience analyzing cost and usage patterns of various systems that span across multiple clouds and data centers Ability to understand the cost breakdown of infrastructure, cloud services, and other resources used by the applications Experience architecting and developing solutions to ambiguous problems Excellent communicator and relationship builder to both business and technical teams Passion for FinOps culture, automation, and modern tooling A strong passion for learning and improvement Strive for excellence and appreciation of detail Desired Characteristics: Strong proficiency of Cloud Governance and FinOps best practices Experience with cloud cost management tools Basic familiarity with AWS, Azure, and Google Cloud Platform (GCP) cloud platforms; ability to navigate and understand fundamental tools and concepts within these environments Experience with modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests required. Continuous delivery experience preferred. Experience delivering software using an agile development process Ability to work and participate in a team with an open and collaborative style of communications Demonstrated ability to work independently as well as part of a cross-functional team Ability to jump into a project and contribute immediately to both architecture and implementation Keywords: business intelligence FinOps Data Engineer [email protected] |
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| Thu Aug 22 00:47:00 UTC 2024 |