Data Engineer II, Alexa Devices

The Alexa Echo Device Team is looking for a talented, highly motivated Data Engineer to join our Business Intelligence team. Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. We provide actionable business insights that inform future products and services that will power the next generation of Echo and Alexa devices.

As a Senior Data Engineer, you will work in one of the world's largest and most complex data warehouse environments. You will work closely with Product Management, Software Development, Data Science, and other Data Engineering teams to develop scalable and innovative analytical solutions, process and store terabytes of low latency structured and unstructured data, and enable the Echo Device team to build successful, data-driven strategies.

Key responsibilities:

• Design and implement an analytical environment using third-party and in-house tools
• Use Python, Scala, or Java to automate the ETL, analytics, and data quality platform
• Design and implement complex data models, model metadata, build reports and dashboards
• Own data presentation and dashboarding tools for end users
• Work with leading-edge technologies like Redshift, EMR, Hadoop/Hive/Pig, and more
• Write scalable, highly tuned SQL queries running over billions of rows of data
• Develop learning and training programs to drive adoption of data-driven decision making
• Work with business owners to understand data requirements and implement efficient ETL solutions
• Collaborate with other teams to ingest relevant datasets into the Alexa Devices BI data-warehouse
• Build a self-service data platform with capabilities like data discovery, lineage, monitoring, and security
• Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake, etc.
• Conduct workshops and lunch-n-learn sessions to educate customers on product capabilities

You should have deep expertise in data design, creation, management, and business use of large datasets across various data platforms, as well as excellent business and interpersonal skills.