Data Engineer, Alexa Enterprise Data

Amazon's Alexa Enterprise team is seeking a talented Data Engineer to join their innovative team. This role sits at the intersection of data, software, and analytics, focusing on extending Alexa's capabilities and services to partners. As a Data Engineer, you'll be responsible for implementing analytical data infrastructure that drives decision-making, working with various data sources including Jira, Portal, and Salesforce.

The position offers exceptional opportunities to grow both technical and non-technical skills while working on exciting and challenging projects. You'll be part of a team that's focused on making Alexa an integral part of enterprise customers' operations, driving revenue, lowering costs, and improving end-user satisfaction.

The role involves working with a comprehensive suite of AWS technologies, including S3, Redshift, DynamoDB, Lambda, APIs, and Glue. You'll be responsible for managing data ingestion from heterogeneous sources, creating scalable data models, and providing infrastructure for self-serve analytics.

The Alexa Enterprise mission is to extend Alexa's capabilities to partners, focusing on distributing Alexa across 3P endpoints, bringing value to customers in hotels and healthcare properties, and offering branded conversational AI assistants. The team's products have been featured in publications like CNET and Forbes, and their progress has been highlighted in Amazon's quarterly earnings.

This role requires someone who thinks like an entrepreneur, consistently delivers outstanding results, and has a strong problem-solving mindset. You'll work closely with Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale analysis, making data more actionable for business management at scale.