Data Engineer II Amazon Jobs – Bellevue, Washington

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Job ID: 1616503

Job Title: Data Engineer II

DESCRIPTION
Alexa Smart Home is focused on making Alexa the voice-activated user interface for the home. Alexa helps fulfill many customer needs, from home security and entertainment to providing information and shopping – all using just your voice. Alexa works with many smart home devices – customers can ask her to switch on a lamp, turn on the fan, dim the lights, or increase the temperature. We are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected.

A day in the life
We are seeking a Data Engineer to join our team. The successful candidate will play an important role in project delivery and ongoing performance optimization, working closely with diverse teams across Alexa including Product Managers, Engineering Leads and Finance.

About the hiring group
The Smart Home Decision Science (SHDS) team combines the power of Smart Home BI engineering resources with Data Science to provide SH org-wide customer insights analytics. The team’s charter includes: 1) ownership of data infrastructure and data models, 2) self-service data services, 3) business reporting (e.g. xBRs, dashboards) and 4) exploratory data analysis, statistical modeling and machine learning algorithms to deliver customer insights analytics.

Job responsibilities
Key areas of responsibility for this Data Engineer role will include:
· Design, implement, and support a platform providing ad hoc access to large datasets
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
· Manage AWS Resources
· Model data and metadata for ad hoc and pre-built reporting
· Own the design, development, and maintenance of datasets to drive key business decisions
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
· Participate in strategic & tactical planning discussions, including annual budget processes
In addition to excellent technical skills the ideal candidate will have strong business acumen, exemplary communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.

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
· Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
· 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
· Experience with data modeling, data warehousing, and building ETL pipelines

PREFERRED QUALIFICATIONS
· Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
· Knowledge of Advanced SQL and a programming language
· Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies

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