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Apply Now, Data Engineer
Sony Interactive Entertainment · Posted 15 days ago
"Build the data foundation that connects PlayStation's global infrastructure costs, utilization, and capacity to product economics, owning the work end to end."
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Data Engineer PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure. Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products. You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions. What You’ll Do
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There are 53 open roles at Sony Interactive Entertainment right now. This role is one of 559 Data Engineer openings and centers on SQL, Python, Snowflake, and Databricks.
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