Data Engineer, Advertising Demand Enablement & Product Ops (DEPO)

Are you passionate about building data infrastructure that delivers real business value at massive scale? As a Data Engineer at Amazon, you will design, build, and optimize data pipelines and architectures that transform raw data into actionable insights. You will work alongside software engineers, data scientists, analysts, and business stakeholders to create reliable, performant data solutions that power critical decision-making. This is an opportunity to tackle complex data challenges, shape how information flows across systems, and directly influence outcomes through the quality and accessibility of the data products you deliver.

Key job responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and data infrastructure, applying best practices in data quality, lineage tracking, and pipeline monitoring to ensure reliable and performant data delivery.
• Create coherent logical and physical data models that accurately represent business requirements, ensure data integrity and consistency, and drive efficient storage and retrieval across relational and distributed systems.
• Develop and optimize SQL queries and scripts to extract, transform, and manipulate large-scale datasets, leveraging distributed data processing frameworks to handle high-volume workloads efficiently.
• Collaborate with analysts, scientists, software engineers, and business stakeholders to translate requirements into well-architected data solutions, balancing customer needs with long-term technical sustainability.
• Identify opportunities to improve existing data processes — including automating manual operations, enhancing data discoverability, and applying generative AI tools where appropriate to augment productivity and data product quality.

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