The Data Engineer role at Amazon focuses on building a data engineering platform to enhance the Perfect Order Experience team. This team is dedicated to ensuring buyers receive authentic products and a seamless shopping experience. The role involves leveraging advanced analytics and data-driven solutions to solve complex problems. Candidates will work with various stakeholders and utilize AWS technologies to manage large datasets effectively.

• 5+ years of SQL experience
• 5+ years of data engineering, database engineering, business intelligence or business analytics experience
• Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments
• Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, or statistics
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Design, build, and maintain an analytical platform providing access to large datasets and computing power
• Collaborate with Engineering and Science teams to implement advanced analytics algorithms
• Build robust and scalable data integration (ETL) pipelines
• Interface with other technology teams to extract, transform, and load data from various sources
• Continually improve ongoing reporting and analysis processes

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.