北京招聘

职位描述：

Job # 988397
Locations Taiwan, Taipei
Job families Program management (engineering)
Teams Cloud and enterprise

Do you want to influence the Big Data landscape in the cloud?

Do you want to help make Microsoft Azure the best cloud for Big Data solutions? …

Java, Scala, Linux … does that sound like your cup of tea? Data Lake architectures, Lambda & Kappa Architectures, Hadoop and Spark … are these things you are passionate about? Are you a Big Data developer today? Do you want to design and implement some of the biggest, most interesting, cloud solutions for Big Data?

We are looking for high energy, high IQ (and EQ) individuals who want to be at the leading edge of Big Data solutions in the cloud. These individuals must have demonstrable experience in delivering Big Data solutions on Linux today and must have a strong passion for the exploding world of Big Data.

As part of Azure Engineering, the Azure CAT team focuses on in-bound product feedback gained through hands-on customer work. We engage in hand-picked projects that help rapidly deepen our knowledge and understanding of common patterns, requirements, gaps and barriers to adoption of the Microsoft Azure platform and services. We use this insight to inform the design and delivery of our data and analytics offerings to support tomorrow’s best cloud and hybrid applications. To that end, we work closely with internal and external customers on some of the most challenging and interesting projects in the cloud.

To support our team’s rapid expansion, we are looking to hire a small number of top-class Big Data and Advanced Analytics talent. If you are a Big Data practitioner with demonstrable hands-on experience designing and implementing data solutions at scale, are fluent in one or more programming languages, and are passionate about rolling up your sleeves and helping solve the hard real-world problems faced by demanding customers, let’s talk. We are explicitly looking for depth in core big data solutions such as Hadoop and Spark and a passion to be on the leading edge with new technologies in the space.

So what’s in it for you? We operate like a SWAT team striving for excellence at the bleeding edge of technology. We deal on a daily basis with customers, scenarios and projects that most folks in this field can only dream of. We work with and learn from other like-minded, exceptionally talented individuals in one of the hottest areas of technology. We drive improvements in the platform by working closely with the various product teams in the space and we help our customers scale and succeed by driving guidance and solutions that address their needs. We are paid to break stuff, with the ultimate goal of making our products, company, and our customers better.

If that sounds appealing to you, please reach out. This is your opportunity to have a direct impact on Microsoft’s cloud offerings as well as our broader data platform strategy. You will be working hard and having fun doing it; and in the end, you will emerge as a leader in your field.

Primary Responsibilities

• Take an active part in the technical delivery of Big Data projects for strategic internal and external customers in collaboration with the customers’ teams, system integrators, Microsoft engineering teams your peer engineers.

• Do whatever it takes to successfully onboard our strategic customers on Azure using Microsoft’s Big Data platform or any OSS components that meet the job: HDInsight (Hadoop, Spark, Storm, HBase…), Azure Data Lake (ADL, U-SQL), Data Factory (ADF), Stream Analytics (ASA), Machine Learning (AML) and Power BI - aka the Cortana Analytics Suite.

• Ramp-up fast on any relevant technologies as dictated by ongoing project and engineering priorities, including (but not limited to) other Microsoft products and services such as Azure SQL Database, SQL DW, Document DB as well as Open Source Big Data products such as Elastic Search, Mongo Db and Cassandra.

• Constantly monitor, investigate, document and report on broad industry and technical community trends, usage patterns, adoption blockers and inhibitors as applicable to our domain; and help conceive, articulate and champion technical solutions to mitigate and ultimately resolve them.

Required Skills

• Solid knowledge of the Hadoop ecosystem on one or more major distros (Hortonworks, Cloudera, MapR).

• Demonstrable experience developing real-world Big Data solutions (C#, Java, Scala) on Windows/Linux.

• Fluency in Big Data OSS querying tools and languages (Hive, Pig, Sqoop) and ANSI-SQL is required.

• Knowledge of at least one generic scripting tool and language (Power Shell, Python).

• Interest and experience in machine learning development (R or Python) are a plus.

• Strong time management skills and execution under light supervision needed.

• Good customer empathy, communication and influence skills.

. Good English communication both verbal and written, required.

Experience and Qualification

• Minimum 3 years of hands-on experience working on Big Data solutions in production.

• Minimum 5 years professional experience as a software engineer

• Have a BS in Computer Science, or demonstrable equivalent experience.

• Prior experience with Azure and/or AWS is strongly preferred.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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　　起步于2005年初的服务器与开发工具事业部（中国）在成立之时就树立了成为世界一流的开发、创新和业务中心的愿景，助力服务器与开发工具事业部在全球和中国的成功。作为微软亚太研发集团的核心部门，服务器与开发工具事业部中国研发团队目前在上海和北京两地共有约500名开发人员，积极参与SQL Server、System Center、Windows Small Business Server、Windows HPC Server、Commerce和Windows Embedded Standard等微软核心平台产品的全球研发和创新。随着微软服务器与开发事业部的使命演变为“云化每项业务”，中国研发团队正逐步加大在Windows Azure和基于Windows Azure上的云服务研发投入。
　　与本地客户和技术社区保持密切互动在微软全球研发过程中至关重要。鉴于中国市场的重要性，服务器与开发工具事业部中国研发团队通过广泛交流,有组织地参与到本地生态系统和技术社区互动中：一）通过微软技术大会（TechEd）、MSDN和TechNet等微软技术网站与广大的本地开发人员和 IT专业人员交流；二）针对目标群体推出了微软技术先行计划(TAP)，微软最有价值专家(MVP)开放日、贵宾接待等特殊项目理解客户的需求；三）与相关原始设备制造商（OEM）、独立软件开发商（ISV）、系统集成商（SI）等合作伙伴开展深入互动。2010年9月，服务器与开发工具事业部中国研发团队组建了微软中国云计算创新中心（CCIC），全力以赴地支持合作伙伴和客户顺利运用微软Hyper-V和Azure云计算产品和技术。

如需更多信息，请访问如下博客：
http://www.cnblogs.com/stbchina
http://blogs.msdn.com/b/stbcblog