Data Engineer I, AWS Kumo Analytics

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing.
$80,700 - $134,800
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · AI
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Description For Data Engineer I, AWS Kumo Analytics

The AWS Kumo team is seeking a Data Engineer to join their innovative organization that provides technology and expertise for AWS customers. This role is part of a team that owns crucial customer-facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center, as well as internal tooling. The ideal candidate will work closely with BI Engineers, Data Scientists, ML scientists, Business Analysts, and Product Managers to drive insights from large datasets.

As a Data Engineer, you'll be responsible for developing and improving data architecture, implementing advanced analytics algorithms, and building scalable solutions. The role requires expertise in data modeling, ETL pipelines, and various programming languages. You'll collaborate across teams to improve AWS Support business through data-driven decisions.

Amazon offers a competitive compensation package including base salary, equity, and comprehensive benefits. The company values work-life harmony and provides flexible work arrangements. You'll be part of an inclusive culture that embraces diversity and offers numerous opportunities for professional growth through mentorship and knowledge-sharing.

The position is based in Vancouver, Canada, where you'll work with a global team that's revolutionizing how customers engage with AWS. This is an excellent opportunity for someone passionate about data engineering who wants to make an impact at one of the world's leading cloud computing platforms.

Last updated 20 days ago

Responsibilities For Data Engineer I, AWS Kumo Analytics

  • Develop and improve the current data architecture, data quality, monitoring and data availability
  • Collaborate with Data Scientists to implement advanced analytics algorithms
  • Partner with BAs across teams to build and verify hypothesis to improve AWS Support business
  • Improve ongoing reporting and analysis processes
  • Keep up to date with advances in big data technologies
  • Design data architecture to scale with increased data sets

Requirements For Data Engineer I, AWS Kumo Analytics

Python
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (Python, KornShell)

Benefits For Data Engineer I, AWS Kumo Analytics

Medical Insurance
Equity
  • Flexible work hours
  • Career development opportunities
  • Mentorship programs
  • Inclusive work environment
  • Comprehensive benefits package

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