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! Never before have information, analytics, and artificial intelligence been so important to business success. That momentum is matched with Microsoft's industry leadership and investment in empowering business transformation. In Supply
We are looking for a Senior Software Engineer who is ready to be part of a team that that moves fast, is willing to experiment, delivers on a continuous basis and is focused on improving the customer experience. In this position you will gain broad knowledge of all of Azure data services as well as in depth knowledge of how the services work. The ideal candidate will have experience working on cloud services, experience with developing for large scale services, knowledge of agile development practices, and experience with big data systems. Work closely with insights/analytics to build highly configurable,
Knowledge, e xperience and skills 8 years software development/ programming experience in enterprise cloud-based data applications. 4 years of experience in data modeling, data design and persistence (e.g. warehousing, data marts, data lakes). Exposure to functional, imperative and object-oriented languages and methodologies. Experience with supporting BIG DATA and Hadoop. Experience with Big Data approaches and technologies including: Hadoop, Cloudera utilities, Spark, Kafka, Hive, Oozie. Experience with SQL (SQL Server, MySQL, Postgres) and NoSQL (Cosmos/MongoDB/HBase) database is expected. Exposure