微软Azure大数据组热招全栈研发工程师【北京】
候选人最好是海外留学或985/211的正规全日制本科或硕士毕业后知名公司工作满一年以上，有编程建模竞赛得奖，leetcode排名或个人技术兴趣项目等。英文要听说读写熟练。工作认真负责，积极主动，能够快速学习，解决问题，团队合作能力良好。
请确保在过去200天内，您没有在微软网投过简历，没有面试过，而且没有其他微软员工已帮您做过内部推荐。谢谢。
微软的标准面试流程是：如果简历合格，会有一小时电话面试，若通过，会再二三轮技术面试，如通过，会有1-2轮一线经理面试，然后二线经理面试，最后人力资源。每轮一个小时（视频，共享桌面，用编辑器写代码），社招面试主要关于数据结构，算法和之前项目经验，解决问题能力。务必好好准备（大多数候选人都失败在这里了），可以在谈面试日期时留出几天准备。
待遇包括：几十万年薪（基本工资），奖金，微软美国的股票，15天带薪年假，15天带薪病假，各种免费培训，各种节日礼品，各种公司派对，家庭日活动等等。研发园区和工作环境绝对北京和苏州一流!
Are you looking to make an impact at the intersection of leading technological trends of our time: big data, artificial intelligence, open source, cloud and serverless computing? If yes, Azure Big Data team are looking for you.
Azure Big Data team (Azure Synapse Analytics, Azure HDInsight, Azure Stream Analytics, Azure Datalake Analytics, Azure Databricks and Cosmos) present exciting challenges in technologies such as big-data, cloud, distributed computing, artificial intelligence, storage and open-source. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure. Azure HDInsight is one of the fastest growing Azure services that offers popular open source technologies, such as Spark, Hadoop, Kafka, HBase and many others in a form that is easy for customers to use. We work with various open-source technologies including Spark, Hadoop, Yarn, etc. and make contributions to these technologies. We are running one of the world’s largest big data cluster which has more than 25,000 machine, stored more than 10,000PB data and run tens of thousands of jobs everyday across search, ads, Office, Xbox, etc. Azure Stream Analytics is an event-processing engine that allows users to examine high volumes streaming data at scale. We are supporting massively parallel complex streaming processing in Azure.
Responsibilities
As an engineer, you have the opportunity to work on the latest technology in big data area:
Design and develop world-class experience for new big data cloud offering
Design and develop platform-specific APIs and tools as building blocks for a world-class user experience
Operationalize open source analytics to run at scale, for example, Spark, Hadoop, Yarn, etc.
Qualifications
Basic Qualifications:
BS/MS degree in computer science or related field.
1+ years of software design and development experience with at least one of C/C++/C#/Java/python/scala.
Preferred Qualifications:
Passion and experience for building great developer experience and user experience of modern analytics systems
Experience with open source components like Spark and Hadoop ecosystem as a plus
Experience with leveraging ML and AI for analytics as a plus
Great curiosity and willingness to question
High enthusiasm, integrity, ingenuity, results-orientation, self-motivation, and resourcefulness in a fast-paced competitive environment
Love the next problem, the next experiment, the next partner
Have a deep desire to work collaboratively, solve problems with teams across the world, find win/win solutions and celebrate successes
Get excited by the challenge of hard technical problems
Solve problems by always leading with deep passion and empathy for customers
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