Data Engineer II, Data & AI, Customer Engagement Technology

As a Data Engineer on Amazon's Data and AI team within Customer Engagement Technology, 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 focuses on developing and maintaining enterprise-scale data processing systems that handle high-volume transactions while ensuring data security, privacy compliance, and optimal performance.

You'll work with cutting-edge technologies in cloud computing, big data processing, and machine learning infrastructure, while contributing to robust data governance frameworks. The role involves close collaboration with software development engineers, product managers, and scientists to create data products that power critical business capabilities.

Your daily responsibilities will include developing ETL/ELT processes, implementing data governance controls, reviewing code, and optimizing data pipeline performance. You'll also mentor junior engineers and ensure data security and compliance with relevant regulations. The position offers opportunities to work with AWS data services, including Redshift, S3, Glue, EMR, Kinesis, Lambda, and RDS.

This role is perfect for someone who is passionate about solving complex technical challenges in high-scale environments, thrives in a collaborative team setting, and wants to make a lasting impact on Amazon's data infrastructure. You'll be part of a new function within Customer Engagement Technology that owns the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy.

Join us to help shape the future of Amazon's data and AI capabilities while working with a team that values innovation, technical excellence, and continuous learning. Your work will directly impact the organization's ability to leverage data for critical business decisions and AI capabilities.