Data Engineer II, Global Logistics, Exports

Job description

As a Data Engineer II in Amazon's Global Logistics (GL) Exports team, you will play a crucial role in supporting Amazon's vision of providing worldwide cross-border product selection at competitive prices. You'll leverage data and analytics to enhance experiences for customers, sellers, and vendors navigating international trade and logistics. Your work will directly impact Amazon's ability to scale globally and deliver innovative solutions in e-commerce.

Key job responsibilities

- Design and build scalable ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, EMR, Lambda, Kinesis)

- Develop data architecture, schemas, and internal tools/APIs for analytics and reporting

- Work with relational and non-relational databases ensuring data quality and scalability

- Manage AWS resources and implement security controls, data governance, and compliance standards

- Ensure operational excellence through monitoring, troubleshooting, and root cause analysis

- Automate processes to increase efficiency and enable self-service capabilities

- Partner with Software Developers, Data Scientists, and business stakeholders to deliver data solutions

- Participate in code reviews, design discussions, and provide technical leadership

- Apply AI/ML technologies (generative AI, LLMs) to data engineering use cases

- Skilled at designing and building internal tools, APIs, or software applications that serve data products or automate business processes

A day in the life

Your typical day might involve collaborating with cross-functional teams to understand data requirements, designing and implementing ETL pipelines, optimizing queries for better performance, and exploring new AWS technologies to enhance our data infrastructure. You'll work on complex data challenges, contribute to the team's technical discussions, and play a key role in driving data-driven decision-making across the organization.

About the team

You'll join Amazon's Global Logistics (GL) team, working at the forefront of global trade and logistics innovation. This role offers an exciting opportunity to solve complex challenges with data and drive significant business impact. You'll be part of a team dedicated to shaping the future of e-commerce and global trade through data-driven solutions.