Data Engineer II - Alexa AI

Join Alexa AI - ML Engineering and help power personalized, proactive experiences for hundreds of millions of Alexa customers worldwide. As a Data Engineer II, you will design and own the large-scale data pipelines that turn raw customer-interaction signals into the context and features our personalization and proactive-agent models depend on, working side-by-side with SDEs to shape our data strategy and architecture.

Key Responsibilities

• Partner closely with SDEs to help define data strategy, architecture direction, and the long-term roadmap for the team's data platform.

• Design, build, and own ETL/ELT pipelines that ingest, transform, and load customer-interaction and context data at a scale of billions of records per day.

• Own operational items end-to-end: data migrations, schema and platform updates, and triage/resolution of data-pipeline tickets, providing day-to-day support to the SDE team.

• Partner with applied scientists and ML engineers to define data contracts, feature pipelines, and data-quality checks feeding personalization and proactive-agent models.

• Operate and continuously improve production pipelines: optimize data delivery, redesign for scalability, manage deployments, and drive root-cause fixes for pipeline incidents.

• Establish and document best practices for data modeling, warehousing, and pipeline design across the team.

Requirements

• 3+ years of data engineering experience

• 4+ years of SQL experience

• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• 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