Amazon - San Francisco, CA

posted about 1 month ago

Full-time - Mid Level
San Francisco, CA
10,001+ employees
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Data Engineer at Amazon Health Science & Analytics is responsible for designing and building scalable data architecture, data models, and pipelines to provide actionable insights for cross-functional teams. This role emphasizes collaboration with various stakeholders to ensure data-driven decision-making and the development of reliable analytics solutions that enhance the health and well-being of customers and members.

Responsibilities

  • Partner with teams across the company to develop flexible and scalable analytics for insights and decision-making.
  • Design and build reliable, performant, and high-quality scalable data architecture, data models, and pipelines.
  • Create critical business-level aggregated tables and standard KPIs and metrics.
  • Define the strategy for data modeling and warehousing accessed by teams and analysts.
  • Implement data quality detection to identify and resolve data issues in transformation stages.
  • Champion data-informed decision-making among internal stakeholders.
  • Build and improve data tooling in collaboration with data engineering and platform teams.
  • Mentor junior team members and broader Amazon Health Services organization.

Requirements

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Proficiency in SQL.
  • Experience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS).
  • Experience mentoring team members on best practices.
  • Experience working with DBT.
  • Experience in dimensional data modeling and schema design.
  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
  • Experience operating large data warehouses.

Benefits

  • Equity and sign-on payments as part of total compensation package.
  • Full range of medical benefits.
  • Financial benefits and other forms of compensation.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service