Senior Data Engineer

$139,100 - $240,500/Yr

Amazon - Seattle, WA

posted 5 days ago

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

About the position

As a Senior Data Engineer at Amazon, you will be responsible for solving unique and complex problems using the latest technologies to create scalable solutions. This role offers the opportunity to work across various teams, impacting millions of customers globally. You will lead technical initiatives, optimize solutions, and mentor team members, all while contributing to a culture of inclusion and work-life balance.

Responsibilities

  • Set the technical strategy for the team
  • Lead complex technical initiatives within the team
  • Explore technical needs and bring solutions to the table
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture
  • Assist in developing project plans and commitments, and then deliver consistently against those commitments
  • Build good working relationships within the team by communicating clearly both verbally and in writing
  • Continuously optimize solutions to improve overall Platform performance, availability and fault tolerance
  • Drive Operational excellence through metrics driven approach
  • Understand customer pain points, build solutions to make large and/or complex data more accessible, understandable and usable by applications and teams
  • Mentor and lead developers by cultivating curiosity, deep technical understanding through collaboration, code reviews, and leading by example.

Requirements

  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience mentoring team members on best practices

Nice-to-haves

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience operating large data warehouses

Benefits

  • Flexible working hours
  • Mentorship opportunities
  • Career growth support
  • Inclusive team culture
  • Diversity and inclusion initiatives
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