The Data Engineer role at Prime Video focuses on enhancing the core data infrastructure for the Partner and Content Foundations team. This position involves implementing AWS services to build data pipelines and improve data accuracy while ensuring compliance with Amazon's data regulations. The team works with large datasets in a complex data lake and warehouse environment, collaborating closely with product managers and software development engineers. The goal is to drive data-driven decision-making and support self-service analytics for product teams.

• 3+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience in Python, Perl, or another scripting language
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Write clean, maintainable code that adheres to best practices
• Leverage AWS data processing services
• Possess broad knowledge of different data types and when to use them
• Understand data security and compliance standards to ensure alignment with company policies and regulations
• Use GenAI to improve efficiency and accelerate delivery
• Build data infrastructure and pipelines using AWS services

• 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.