New 
Software Engineer II
 Microsoft | |
 United States, Washington, Redmond | |
 May 02, 2025 | |
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OverviewAre you a Software Engineer who thrives in a cutting-edge environment where you get to work with some of the largest data volumes on the web? Do you have a rich history of crafting innovative solutions utilizing HDFS, Spark, Flink, Presto and Data Lakes? Are you challenged by large scale projects utilizing trillions of records to drive and innovate product experiences for end-users? Does it sound exciting to help modernize a petabyte scale big data and analytics platform? Then this is the role for you.The Telemetry and Data Service team, part of the WWE Platform Services, have been modernizing our petabyte scale big data and analytics platform to help provide personalized news experience on MSFT canvases. Our charter includes collecting product signals from product teams across WWE including MSN, Bing.com, and Windows, providing observability/analytics /insights that drive product innovation and business reporting. We also build audience segmentation and campaigns/personalization for better product alignment and user understanding. We seek to understand ad alignment and usage with our products as well as share optimizations with internal product and finance teams and develop AI/ML capabilities to support content and product personalization to name a few. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesDesign, build and own the optimal data processing architecture and systems for new data and analytics pipelines, dashboards and metrics leveraging Azure and open source technologies.Build core datasets as well as scalable and fault-tolerant pipelines.Build data anomaly detection, data quality checks, and optimize pipelines for ideal compute and storage systems while guaranteeing high quality and SLA datasets.Collaborate with cross functional partners including data scientists, product managers and software engineers to design and develop end-to-end data assets that help improve our products. | |