Senior Data Engineer, WW FBA Central Analytics
Amazon - Bengaluru, Karnataka, IND
Posted Mar 19, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Mental health support
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- Relocation assistance
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Schedule
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About this role
Senior Data Engineer, WW FBA Central Analytics Bengaluru, Karnataka, IND Worldwide Fulfillment by Amazon (WW FBA) empowers millions of sellers to scale globally through Amazon's leading fulfillment network. FBA sellers deliver fast, reliable Prime-eligible shipping and hassle-free returns to customers worldwide-enabling them to focus exclusively on business growth while Amazon handles operational logistics. The WW FBA Central Analytics team architects and maintains data infrastructure that delivers critical insights to WW FBA leadership. This team forms strategic partnerships across global product, program, and technology teams to unify datasets, implement self-service analytics platforms, and develop AI capabilities that transform raw data into actionable insights. We are looking for a Senior Data Engineer who thrives on solving hard problems, shaping new capabilities, and delivering high-quality results in a fast-paced environment. You will be at the forefront of integrating LLM-powered solutions with robust backend systems, ensuring they scale securely and reliably to serve global customers. This role sits at the intersection of data engineering and AI - you will own the data foundation that determines whether GenAI-powered insights are trustworthy, fast, and scalable. You will work directly on executive-level initiative to deliver proactive, AI-generated insights across FBA metrics to business leadership worldwide. Key job responsibilities - Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources across 8 WW FBA metrics domains. - Lead the strategic migration from Redshift-centric architecture to a flexible lakehouse model, targeting query performance improvement from 60-300 seconds to under 10 seconds.
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