Data Engineer

Amazon's Transportation team is seeking a skilled Data Engineer to help revolutionize their Transportation and Retail models. This role combines data engineering expertise with business intelligence to drive Amazon's worldwide transportation operations. The position requires strong analytical thinking and metrics-driven decision making to solve complex problems at scale.

The role involves working with cutting-edge big data technologies including Redshift, Hive/EMR, Tez, and Spark to process and analyze extremely large datasets. You'll be responsible for designing and implementing scalable data solutions, ensuring data quality, and optimizing complex queries and data structures.

As a Data Engineer, you'll collaborate with a world-class Business Intelligence team, participating in code reviews, design discussions, and architectural planning. The role requires expertise in SQL, data warehousing, and ETL pipeline development, along with experience in scripting languages like Python.

This is an excellent opportunity for someone with 4-7 years of experience in quantitative analysis and data engineering who wants to make a significant impact on Amazon's global transportation systems. You'll work on complex modular projects, often in a leadership capacity, while helping to evolve the next generation of Amazon's transportation infrastructure.

The position offers the chance to work with some of the most advanced data processing systems at scale, implementing solutions that directly impact Amazon's operational efficiency. You'll be part of a team that values innovation, technical excellence, and practical problem-solving in one of the world's largest e-commerce and technology companies.