DataEngineerII,ShipTechAnalytics

Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's global transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for strong Data Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazon's global transportation network. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams. As a Data Engineer, you'll work on building analytical solutions that empower operations teams worldwide. You'll develop both near-real-time streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build metrics for the transportation network, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network. Key job responsibilities - Design and build scalable near-real-time streaming and batch data pipelines supporting Amazon's global transportation network. - Build data products and data tools that streamline the complete data lifecycle - Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver datasets and data tools that enable faster, more informed decision-making - Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience - Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation - Leverage AWS cloud technologies to transform raw data into actionable metrics - Drive continuous improvement through code reviews, design discussions, and operational best practices - Partner with senior engineers and principals to solve