Data Engineer II, Alexa AI - ML Engineering

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence

In short

As a Data Engineer II with Alexa AI - ML Engineering, you will design and manage large-scale data pipelines processing billions of records daily. You will collaborate with SDEs and scientists on data strategy, architecture, and feature pipelines, ensuring the operational health of data migrations, schema updates, and ticket triage. This role is critical in shaping Alexa's proactive customer interactions through the data you deliver and maintain.

Responsibilities

Design, build, and own ETL/ELT pipelines for customer-interaction and context data at scale.
Own operational items: data migrations, schema/platform updates, and data-pipeline ticket triage.
Partner with applied scientists and ML engineers to define data contracts, feature pipelines, and data-quality checks.
Operate and improve production pipelines, optimizing data delivery, scalability, and incident resolution.
Establish and document best practices for data modeling, warehousing, and pipeline design.

Requirements

3+ years of data engineering experience
4+ years of SQL experience
Experience with data modeling, warehousing, and building ETL pipelines

Desired 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 (object storage, document or key-value stores, graph databases, column-family databases)

Skills

SQLETLData ModelingData WarehousingRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAM

#Data Engineering#ML Engineering#Alexa AI

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