Data Engineer, Alexa Speech Insights and Data Science

Sunnyvale, California, USA

Full Time
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Job summary
Alexa Speech is building the future of voice enabled interactions for our customers not only in Echo family, but also in 3rd party devices and applications. We believe voice is the most natural user interface for interacting with technology across many domains, so we are inventing the future.

The Role:
We are looking for an experienced Data Engineer (DE) to join our team for development of our data frameworks and have direct impact on how our customers interact with Alexa. As a DE on this team, you will be leading infrastructure development, automation frameworks, and generation of datasets to be used for reporting, analysis, and insights. You will work with multiple Data Scientists, Software Engineers, Product Managers and Program Managers to design and develop new ways for accelerating compelling experiences in Alexa Speech.

You'll measure your success by the quality of your execution, the pace of innovation you help drive, and the increased satisfaction you deliver. You’ll write code and build big data systems, but you’ll also mentor engineers around you and do whatever needs to be done for the team and product initiative to succeed. This role is highly visible and impacting, across Alexa Speech.

Are you the person that can help in building next generation of infrastructure frameworks and services that enable Alexa to go bigger? Are you ready to make a difference at a company that matters? Do you want to tackle huge challenges? Do you want to make a large impact on the design and architecture of cutting edge products used every day, by people you know? If yes, we would love to talk to you.



Key job responsibilities
Database Management
ETL - pipelines
Table creation
Reporting Datasets
Big Data Scaling
Data Compliance and Integrity

Basic Qualifications


· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Experience in a business environment with large-scale, complex datasets

Preferred Qualifications

· Master’s degree in Computer Science or related field
· Experience in design and scaling architecture
· Proficiency in any programming language; preferably Python or Java
· Experience working on a large-scale deployments and performance tuning
· Excellent judgment, organizational, and problem-solving skills
· Exceptional interpersonal communication skill, including verbal, written, listening and customer relationships
· Experience in producing comprehensive, usable dataset documentation and metadata




Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Job region(s): North America
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