helping Microsoft team Services Engineering builds
Core Services Engineering builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster and more securely every day. Core Services Engineering employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates. We have exciting opportunities for you to innovate, influence, transform, inspire and grow within our organization and we encourage you to apply to learn more! Job Description: We are the Supply Chain Engineering team under Kurt DelBene's Core Services Engineering and Operations (CSEO) org. Supply Chain Engineering designs, implements and runs Microsoft's global manufacturing, repair, planning,
Plan and communicate infrastructure and platform solutions by identifying resource requirements, collaborating with feature teams and service providers to architect and design the optimal solution, and proactively managing program risks and issues Execute lifecycle management services to ensure compliance with hardware, OS, and platform roadmaps Project management for Business Intelligence and Analytics strategy and direction: End to End project management including all critical milestones: planning, procurement, and build-out activities Directly manage vendor Business Intelligence PM staff Identify
BS in Computer Science or related field 2+ years of experience leading agile projects or service management activities Strong technical expertise in Hadoop, ADL, HDInsights, ADF, ADW etc Extensive knowledge and experience in data warehousing, data processing (ETL), e-metrics/measurement, business intelligence, information retrieval, parallel and distributed computation Experience in implementation of Cloud Computing concepts and platforms Experience in analyzing very large real world datasets and hands-on approach in data analytics Proven problem resolution, judgment, negotiating and decision making