Description

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Air! AIR's Data, Analytics and Business Intelligence (DABI) team aims to offer the data infrastructure and data applications, processes, and practices that enable the AIR business to leverage its capacity, speed, quality of service, and organic infrastructure to delight Amazon customers worldwide.

We are looking for an experienced, innovative Data Engineer to work in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and love bringing data together to answer business questions. You should have deep expertise in creating and managing datasets and a proven ability to translate data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers, Data Scientists, SDEs, and business teams across the Amazon AIR organization. In this role, you will own end-to-end development of data engineering solutions to complex questions and play a critical role in strategic decision-making.

The right candidate will possess excellent technical ability in relational database management systems and database architecture, solid business and communication skills, and the ability to work with business owners to develop and define key business questions, collaborate with external data vendors to onboard new datasets, and analyze data effectively.

Key job responsibilities
- Design and implement robust ETL/ELT processes using AWS big data technologies
- Create scalable data integration solutions that transform complex business requirements into actionable insights
- Develop and maintain high-performance data pipelines that support critical business intelligence needs
- Proactively identify and resolve data infrastructure challenges to enhance system reliability
- Collaborate with cross-functional teams to drive data-driven decision-making strategies
- Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations
- Design and implement data architectures that support generative AI applications and LLM workflows
- Leverage GenAI tools (e.g., Amazon Q, coding assistants) to accelerate development and testing

A day in the life
Your day will be a dynamic blend of technical innovation and collaborative problem-solving. You'll dive into complex datasets, design elegant data pipelines, and work alongside cross-functional teams to unlock actionable intelligence that shapes the future of global logistics.

About the team
We are a passionate group of data professionals dedicated to transforming raw information into strategic insights. Our team thrives on collaboration, innovation, and a shared commitment to solving complex challenges that directly impact Amazon's global air transportation network.