Data Engineer II, ShipTech

Amazon's Transportation Business Intelligence team is seeking a Data Engineer II to join their ShipTech division. This role sits at the intersection of big data and transportation technology, where you'll be instrumental in building next-generation transportation models through advanced data solutions.

The position involves working with cutting-edge AWS technologies including Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, and DynamoDB Streams. You'll be responsible for designing and implementing real-time analytical platforms that process and analyze large volumes of data to drive transportation efficiency and innovation.

As a Data Engineer II, you'll be working with complex technical contexts and large-scale datasets, requiring expertise in data modeling, ETL design, and business intelligence tools. The role demands someone who can think strategically about data infrastructure while maintaining attention to detail and delivering practical solutions that create significant business impact.

The ideal candidate should be comfortable with ambiguity, capable of self-direction, and thrive in a fast-paced, global team environment. You'll need to demonstrate strong analytical thinking and metrics-driven decision-making abilities. Experience with big data technologies and frameworks like Hive, Spark, Hadoop, and Redshift is crucial, as is proficiency in writing performant SQL for large data volumes.

This is an excellent opportunity for someone passionate about data and analytics who wants to make a significant impact on Amazon's transportation systems. You'll be working with a world-class team, using the latest technologies, and solving complex problems that affect Amazon's global logistics network. The role offers the chance to work on meaningful projects that directly influence the efficiency and effectiveness of Amazon's transportation operations.