Data Engineer II, Data & AI, Customer Engagement Technology

As a Data Engineer on the Data and AI team at Amazon, you will play a crucial role in designing and implementing robust data pipelines and infrastructure that power the organization's data-driven decisions and AI capabilities. This position is integral to developing and maintaining enterprise-scale data processing systems that handle high-volume transactions while ensuring data security, privacy compliance, and optimal performance.

You'll be joining a dynamic team that focuses on comprehensive data solutions, from real-time processing architectures to secure storage solutions and privacy-compliant data access layers. The role involves extensive collaboration with cross-functional teams, including software development engineers, product managers, and scientists, to create impactful data products.

Working with cutting-edge technologies in cloud computing, big data processing, and machine learning infrastructure, you'll have the opportunity to shape the future of Amazon's data and AI capabilities. The role offers exposure to AWS data services including Redshift, S3, Glue, EMR, Kinesis, Lambda, and RDS.

A typical day involves participating in team stand-ups, monitoring data pipelines, developing ETL/ELT processes, implementing data governance controls, and reviewing code. You'll work closely with various stakeholders, contribute to technical design discussions, and mentor junior engineers. The position requires strong problem-solving skills and the ability to optimize data processing workflows while maintaining security and compliance standards.

This role is perfect for someone who is passionate about solving complex technical challenges in high-scale environments, enjoys collaborative team settings, and wants to make a lasting impact on Amazon's data infrastructure. The position offers the opportunity to work with large language models and contribute to the organization's AI initiatives while being part of the innovative Customer Engagement Technology team.