As a Data Engineer in the WW Pricing Data & Analytics team, you will create data models and ML data infrastructure that enhance pricing algorithms and improve customer and seller experiences. You will work with complex data to optimize service performance and support business initiatives. Your role involves developing data flows and GenAI-based solutions to improve operational efficiency. You will collaborate with software engineering teams to transform data and understand customer intentions.

• 3+ years of data engineering experience
• 1+ years of experience developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 1+ years of experience with OLAP technologies
• 1+ years of experience with data modeling
• 1+ years of experience using SQL
• 1+ years of experience using Oracle
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases or data stores

• Design and implement next generation data pipelines and BI solutions
• Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, and Lambda
• Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs
• Interface with other technology teams to extract, transform, and load data from various data sources
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

• 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.