Amazon, Earth's most customer-centric e-commerce company, is seeking a Data Engineer for their competitive pricing team. This role is crucial in maintaining Amazon's commitment to offering the best prices to customers worldwide. As part of the pricing Big Data team, you'll be responsible for building and maintaining the data platform that supports Amazon's global pricing competitiveness.
The role involves working with large-scale data processing, creating dashboards and reports, and enabling deep dive analytics to improve operational efficiency. You'll collaborate with tech, analytics, product, and machine learning teams to develop real-time data processing solutions using the latest AWS technologies.
As a Data Engineer, you'll lead the architecture, design, and development of the data, metrics, and reporting platform for Pricing. Your responsibilities include implementing Business Intelligence solutions, managing big data capabilities, and ensuring scalability, reliability, and performance goals are met. You'll work directly with business leaders to drive strategy and prioritize projects while providing technical leadership to a team of Data Engineers.
The ideal candidate should have experience with SQL, data modeling, ETL pipelines, and scripting languages like Python. Knowledge of big data technologies such as Hadoop, Hive, Spark, and EMR is preferred. This role offers an opportunity to impact Amazon's global pricing strategy while working with cutting-edge technologies in a dynamic, fast-paced environment.
Join Amazon's data engineering team to help shape the future of competitive pricing while working with some of the most sophisticated data systems in e-commerce. You'll be part of a team that directly influences Amazon's ability to maintain its customer-centric promise of offering the best prices across its worldwide marketplaces.