Data Platform Infrastructure Engineer @ Groupon

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.As Groupon’s data ecosystem scales across GCP and AWS, we’re seeking a foundational Data Platform Infrastructure Engineer to join our Data & Discovery organization. This critical role, the first of its kind on our team, is designed to ensure our platform is reliable, cost-efficient, and secure. You will be instrumental in building a resilient, automated, and future-ready data platform that empowers our teams to adopt an AI-driven development mindset. You'll join a globally distributed, collaborative team of seven, working in a Kanban-style model that champions strong ownership, cross-functional collaboration, and continuous learning. Key Responsibilities: Design, build, and automate scalable data infrastructure across GCP and AWS. 🚀 Ensure platform reliability, security, and cost-efficiency through robust monitoring, automation, and compliance practices. 🛡️ Collaborate with Data Operations, Tools, and Pipeline teams to support data-driven initiatives and drive our platform forward. Develop and maintain secure, scalable data pipelines and…

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