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Data Engineer II
Amazon · Bengaluru, Karnataka · Posted 4 days ago
Own end-to-end data governance and design AI-native, real-time pipelines that power fraud detection and content discovery for indie authors and readers.
Are you passionate about working with data at scale? Do you love bringing data together from diverse systems and sources and working on critical problems for understanding customer behaviour and generating actionable insights? Does the idea of partnering with a team of highly experienced machine-learning scientists and engineers excite you? Minerva Science and Analytics team is looking for an experience, self-driven Data Engineer to help us synthesise data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behaviour, and democratise content creation in an safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer technical autonomy, value end-to-end ownership, and have a strong customer-focused culture.
Come join us as we revolutionise the book industry and deliver an amazing experience to our authors and readers.
Key job responsibilities As a Data Engineer on the Minerva Athena team, you will own and drive the design of scalable data systems keeping privacy and security compliance in check. You'll lead technical initiatives at the intersection of data engineering and AI, architecting solutions that process large-scale data. You'll mentor junior engineers, influence technical direction, lead design reviews and deliver high-impact data products with measurable business outcomes.
AI-Native Infrastructure 1. Design and architect AI-native infrastructure supporting real-time data processing for AI/ML inference, training, and continuous learning at scale. 2. Architect infrastructure for agentic AI systems with multi-agent orchestration, defining patterns and best practices for the team. 3. Drive GenAI-powered data quality, entity resolution, and metadata management strategies that raise the bar for data integrity
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