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. Our mission is to understand financial data and gain insights which we can use for improving efficiency in various financial operations covering different spend categories, marketing, third party payments, expense management, etc., payables, fraud detection, invoicing, and many others. Our opportunity is to modernize this function in an environment where engineers are empowered to innovate
Responsibilities: Work on mission critical financial data services. Help identify new opportunities to help meet our customers' needs and do POCs to evaluate technology fits for customer needs. Design data engineering solutions to support analytics, machine learning in production systems for detecting Anomalies, Frauds in procurement domain. Data Modeling and Evaluation. Apply Machine Learning Algorithms and Libraries Gain a deep and broad understanding of the business process. Collaborate effectively with other disciplines of the project team. Opportunities to use analytical statistical background
Required Qualifications: 1+ year(s) of experience in working with cloud data engineering frameworks e.g. Hadoop, Spark, Azure Datawarehouse and/or similar Big data technologies. 2+ years of experience in using one or more programming or scripting languages like Python, Scala, Sql, or C# to work with data. Preferred Qualifications: Extensive development and testing experience in Database/BI Technologies and reporting frameworks. Experience with Data structures (stacks, queues, multi-dimensional arrays, trees, graphs, etc.), algorithms (searching, sorting, optimization, dynamic programming, etc.),