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社招打个广告，Microsoft AI Ads Data 团队招人（北京/苏州）
要求：Senior/Principal ，高级或资深
主要负责广告数据链路等相关业务，涉及离线和在线服务，打造全面的数据中台。
英语要求可读可写，提供英语环境，面试可全程中文。
以下是 JD ，有意者请发送简历至：wulo#microsoft.com （替换#为 @；标题请注明：招聘）
Overview
MAI Data team in Microsoft ARPD is responsible for developing and operating one of the world’s largest data eco-system: PiB data has been being processed, stored and accessed via the data API every day by streaming/batches, from instrumentation to analytics. Besides, modern open-source technologies such as Spark, Kafka, Kylin and Click House are widely used in the team to run the big data business successfully. Thousands of developers in Bing, Ads, MSN, andEdge are working on top of the data products that the team build. We’re looking for passionate software engineering manager to join us for the mission of powering Microsoft Search/Ads/MSN businesses through data substrate and infusing our data capabilities to the industry.
Qualifications
Bachelor degree or above of Compute Science or related area
5+ years of industry experiences in big data or large scale service
Solid experience of shipping high performance C#, Java, or equivalent language code software.
Understanding of distributed system and data parallel computing is preferred.
Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake is a plus.
Domain knowledge of ads, search or content services is a plus.
Experience of designing mission critical data pipelines with SLA commitment is a plus.
Quick learning and solid problem solving and debugging skills.
Accountable and proactive
Good communication skill, fluent in English (both oral and written)
Responsibilities
Lead the design and cross team communication for Ads Data scenarios to support Ads Business to grow. Deep understanding the bigdata platform (Spark) and opensource stacks to improve BI stack reliability, drive the 10X scaling and cost reduction. COGS saving (Azure, MT, Cosmos) and contribute to RPM features.
Additional details
Bachelor degree or above of Computer Science
>=5 years of industry experiences
要求：Senior/Principal ，高级或资深
主要负责广告数据链路等相关业务，涉及离线和在线服务，打造全面的数据中台。
英语要求可读可写，提供英语环境，面试可全程中文。
以下是 JD ，有意者请发送简历至：wulo#microsoft.com （替换#为 @；标题请注明：招聘）
Overview
MAI Data team in Microsoft ARPD is responsible for developing and operating one of the world’s largest data eco-system: PiB data has been being processed, stored and accessed via the data API every day by streaming/batches, from instrumentation to analytics. Besides, modern open-source technologies such as Spark, Kafka, Kylin and Click House are widely used in the team to run the big data business successfully. Thousands of developers in Bing, Ads, MSN, andEdge are working on top of the data products that the team build. We’re looking for passionate software engineering manager to join us for the mission of powering Microsoft Search/Ads/MSN businesses through data substrate and infusing our data capabilities to the industry.
Qualifications
Bachelor degree or above of Compute Science or related area
5+ years of industry experiences in big data or large scale service
Solid experience of shipping high performance C#, Java, or equivalent language code software.
Understanding of distributed system and data parallel computing is preferred.
Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake is a plus.
Domain knowledge of ads, search or content services is a plus.
Experience of designing mission critical data pipelines with SLA commitment is a plus.
Quick learning and solid problem solving and debugging skills.
Accountable and proactive
Good communication skill, fluent in English (both oral and written)
Responsibilities
Lead the design and cross team communication for Ads Data scenarios to support Ads Business to grow. Deep understanding the bigdata platform (Spark) and opensource stacks to improve BI stack reliability, drive the 10X scaling and cost reduction. COGS saving (Azure, MT, Cosmos) and contribute to RPM features.
Additional details
Bachelor degree or above of Computer Science
>=5 years of industry experiences
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