Posted:1 week ago|
Platform:
On-site
Full Time
Alexa Sensitive Content Intelligence team leverages natural language understanding, machine learning, and big data to help Alexa identify sensitive content. We're seeking an exceptional Data Engineer to join our Data Engineering team, where you'll architect and build data systems that power Amazon's Devices content moderation data warehouse and reporting pipeline. This role combines technical expertise with business acumen to transform complex data into actionable insights.
You'll be instrumental in building the next generation of data-driven tools that highlight and protect bad content being exposed to customers on Amazon's Devices including Alexa+. You should have experience with real-time data processing, high-throughput systems, and end-to-end platform development. Knowledge of modern data engineering tools and technologies is essential.The ideal candidate combines technical excellence with strategic thinking, bringing both the ability to architect complex systems and the vision to drive innovation in technology.Core Responsibilities:Contribute to the architecture, design and implementation of next generation BI solutions - including streaming data applications.Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.Collaborate with data scientists, BIEs to deliver high quality data architecture and pipelines.Interface with other technology teams to extract, transform, and load data from a wide variety of data sourcesContinually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.Basic Qualifications:Bachelor's degree in computer science, engineering, mathematics, or a related technical disciplineIndustry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
- 3+ years of data engineering 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)Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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