Data Engineer I, DSP Analytics Amazon

Join the DSP Analytics team to design, build, and maintain scalable data pipelines that power Amazon’s Delivery Service Partner program. Leverage cutting‑edge Generative AI and AWS technologies to transform high‑volume data into actionable insights for global logistics operations.

• Design and maintain robust batch and real‑time data pipelines for high‑volume data sources
• Develop and optimize ETL processes to produce clean, structured datasets for analytics and reporting
• Implement scalable data warehousing solutions for efficient storage, retrieval, and query performance
• Collaborate with data scientists and economists to build infrastructure for machine learning and GenAI applications
• Establish and enforce data quality standards, monitoring pipelines for reliability and performance
• Maintain comprehensive documentation for data models and processes
• Implement security protocols and access controls to ensure data privacy and compliance

• 1+ years of data engineering experience
• Proficiency in SQL and experience with data modeling, warehousing, and ETL pipelines
• Strong scripting skills in Python
• Solid understanding of database, data warehouse, or data lake architectures
• Experience with query languages such as HiveQL or SparkSQL