Alexa AI – ML Engineering builds the personalization and proactive-intelligence systems that let Alexa anticipate what customers need before they ask. Data Engineers work side-by-side with SDEs and applied scientists, combining data strategy and large-scale engineering to turn billions of daily customer-interaction signals into the context, features, and content that drive Alexa's ranking, personalization, and proactive-agent experiences. We value ownership, data quality, and working backwards from the customer.
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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