New 
Software Engineer II, Azure AI Analytics
 Microsoft | |
 United States, California, Mountain View | |
 Jan 31, 2025 | |
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OverviewThe Azure AI Platform (AIP) provides organizations across the world with the tooling and infrastructure needed to build and host AI workloads. The AI Platform organization is scaling rapidly, and we are establishing a world-class data analytics platform to support data-driven decision making through the organization. We are looking to hire a Software Engineer to join the newly formed AI Platform Analytics team. This individual will be responsible for collaborating with teams across AI Platform to process, aggregate and analyze data across a wide range of Azure applications and services with the emphasis on developing orchestration pipelines for analytics using various open-source and company-internal data processing frameworks. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities Build data extraction, manipulation, processing, and visualization tools and share these tools and your knowledge across the team, CoreAI, and Microsoft. Develop and maintain ETL pipelines that aggregate information about various aspects of Azure operationsHandle large amounts of data using various tools, including your own. Ensure high-quality, reliable data, and platform compliance and securityDrive end-to-end projects by utilizing, applying, and analyzing data to associated business problemsCollaborate with Data Scientists, Analysts and PMs on future analytics needs and insights generation from dataContribute to data-driven culture by collaborating with product and engineering teams across Azure to establish and share best practices Embody our culture and values | |