Full-stack Engineer

• Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events.
• Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing.
• Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability.
• Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows.
• Work with business stakeholders such as Analytics Eng, Data Science teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment.
• Collaborate with Leadership in devising the charter and technical roadmaps.
• Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence.

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