Senior Data Engineer - Alexa
- Arlington, VA
Interested in Amazon Alexa? Come work on it. We're building the speech and language solutions behind Amazon Echo and other Amazon products and services. We're working hard, having fun, and making history!
We are looking for candidates who want to help shape the future of human-computer interactions. Specifically, we are looking for an outstanding Data Engineer who is looking to work in a new space to help define how we use data to understand customer behavior and satisfaction. In this role, you will develop and support the analytic technologies that give our teams flexible and structured access to their data.
The successful candidate will be an expert with SQL, ETL (and general data system architecture and data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.
You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You will also have the opportunity to display your skills in the following areas:
• 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
• Interface with business customers, gathering requirements and delivering complete reporting solutions
• 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
• Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
• 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience
• Experience gathering business requirements, and designing data system solutions to meet customer needs
• Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
• Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
• Both technically deep and business savvy enough to interface with all levels and disciplines within the organization
• Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations
• Knowledge of Advanced SQL and a programming language
• Experience with data visualization using Tableau or similar tools
• Experience with large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies
• Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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