Sr Data Engineer, Alexa Skills

Description

Are you interested in Amazon Alexa and the future of voice-powered connected devices? Come work on it! This is an opportunity to join a growing team that is inventing the future of compute technology and building an exciting new business within Amazon. Amazon is a data driven company, and good analytics are at the core of everything we do. The Alexa Skills Business Operations team is searching for a Senior Data Engineer to expand our analytics team to drive deep insights into our customers and how they interact with Alexa. We are looking for an outstanding Data Engineer who will 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, including implementation of a BI platform, defining metrics and KPIs, and automating reporting and data visualization.

The successful candidate will be an expert with SQL, ETL (and general 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.

Responsibilities

  • Architect, design, implement, and support a platform providing secured access to large datasets.
  • Partner with business customers, gather requirements and deliver complete reporting solutions
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Manage AWS Resources
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Respond to high priority requests from senior business leaders.
  • Build solutions to have maximum scale and self-service ability by stakeholders.
  • Improve back-end data sources for increased accuracy and simplicity.

Basic Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
  • 5+ years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7+ years of professional experience
  • Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

Preferred Qualifications

  • Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
  • Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations
  • Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
  • Experience with technical leadership/mentorship to other engineers for the best practices on the data engineering and or BI space
  • 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
  • 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.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


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