Amazon - Seattle, WA

posted 2 months ago

Full-time - Mid Level
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As a Data Engineer at AWS Training and Certification, you will play a pivotal role in building advanced learning solutions using modern AWS technologies. This position involves acting as a technical leader across multiple engineering teams, contributing to system design, technology selection, and operational excellence. You will mentor and coach engineers, helping them improve their processes to achieve scalability and efficiency in delivering high-quality products and services.

Responsibilities

  • Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
  • Manage AWS resources including Lambda, Glue, DynamoDB, LakeFormation, etc.
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  • Collaborate with other tech teams to implement advanced analytics algorithms for statistical analysis, prediction, clustering, and machine learning
  • Collaborate on our technology roadmap to turn visions into reality
  • Work with business leaders, product managers, Business Intelligence Engineers, and Data Scientists to ideate business-friendly software solutions
  • Design client-side and server-side architecture
  • Develop visually appealing front end website architecture, including translating designer mock-ups and wireframes into front-end code
  • Develop functional databases, applications, and servers to support websites on the back end
  • Write effective APIs
  • Test software to ensure responsiveness and efficiency
  • Troubleshoot, debug and upgrade applications
  • Create security and data protection settings
  • Build features and applications with a mobile responsive design
  • Develop technical specifications and write technical documentation

Requirements

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines

Nice-to-haves

  • 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)

Benefits

  • Flexible work hours and arrangements
  • Mentorship and career growth opportunities
  • Employee-led affinity groups fostering a culture of inclusion
  • Ongoing events and learning experiences
  • Knowledge-sharing and career-advancing resources
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