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Amazon · IN, KA, Bengaluru

# Data Engineer II, Alexa AI - ML Engineering

IN, KA, Bengaluru Data & Analytics 

Listed on Amazon’s official careers site. Posted November 6, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10598396/data-engineer-ii-alexa-ai-ml-engineering)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Data Engineer II, Alexa AI - ML Engineering

## Job description

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.

- You will build and operate ETL/ELT pipelines processing billions of records a day, using AWS big-data services (Glue, EMR, Kinesis, Redshift, DynamoDB) and distributed compute.

- You will partner with SDEs and applied scientists to define data strategy, contracts, and feature pipelines, and to decide architecture direction together.

- You will own operational health: data migrations, schema/platform updates, and triage of pipeline tickets, directly supporting the SDE team's work.

- This is a high-visibility role: the data you deliver, and keep running, directly shapes what Alexa proactively tells customers, and when.

### Key job responsibilities

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

2\. 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.

3\.

### 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.

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

5\.

### Operate and continuously improve production pipelines

optimize data delivery, redesign for scalability, manage deployments, and drive root-cause fixes for pipeline incidents.

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

### A day in the life

You'll join SDEs in a design discussion to shape data strategy and architecture, then pick up a migration or platform-update ticket and see it through to resolution. You'll trace a data-quality issue in a personalization feature pipeline, support SDEs with any operational asks on your pipelines, and monitor the health of systems processing billions of daily customer-interaction events. You'll partner with applied scientists to onboard new signal sources and triage pipeline alerts.

### About the team

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.

## At a glance
- Posted by the employer: Nov 6, 2026
- First seen by OpenNash: Nov 8, 2026
- Last checked: Nov 8, 2026
- Listed for: 2 days
- Location: IN, KA, Bengaluru[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10598396/data-engineer-ii-alexa-ai-ml-engineering)

## Hiring at Amazon
- Open jobs: 21,930
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/)

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