Data Analytics Engineer
 Microsoft | |
 United States, North Carolina, Charlotte | |
 Jan 28, 2025 | |
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OverviewMicrosoft Security aims to make the world a safer place for everyone. Our mission is to reshape security and empower every user, customer, and developer with a security cloud that delivers end-to-end, simplified solutions. The Central Fraud and Abuse Risk (CFAR) team is seeking a Data Analytics Engineer to design and build highly secure, resilient, and containerized cloud-hosted analytics microservices and micro frontends. Our team leverages deep security and compliance expertise, rich datasets, and exceptional engineering talent to deliver industry-leading, robust services. We build, buy, and integrate best-in-class technologies and datasets to create a flexible, scalable platform that amplifies both automated and human decision-making. As a Data Analytics Engineer, will build best-in-class solutions using robust coding practices and the latest tech. You thrive on tackling ambitious challenges to build impactful, world-class solutions, while also finding value in contributing to smaller, yet meaningful tasks. If this resonates with you and you align with our team's values, join us in building the foundation of trust for the digital future.
ResponsibilitiesDetermines appropriate analytical and inferential techniques to address business questions, executes analyses and interprets results with actionable recommendations. Collaborates across teams to ensure consistency in data sources, methods, models, tools, and business priorities, to build reusable and sharable data schemas. Coordinates Build and Ship, the next generation of highly scalable, cloud native analytical solutions supporting large scale distributed microservices and applications.Remain up to date on data privacy requirements and data handling practices, while ensuring compliance with classification and governance standards and regulations.Produce high quality code that is unit tested, code reviewed and checked in regularly for continuous integration. Work closely with cross-functional teams, including product owners, UX designers, AI/ML specialists, Engineers/Researchers, and data scientists. | |