Data Engineer, AIGC Science and Analytics

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS
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Description For Data Engineer, AIGC Science and Analytics

The AIGC Science and Analytics team at Amazon is seeking a talented Data Engineer to lead their data engineering initiatives. This role combines cutting-edge AWS technologies with data warehousing and ETL expertise to drive critical business insights. The position offers competitive compensation ranging from $118,900 to $205,600 based on location, plus comprehensive benefits including equity and sign-on bonuses.

The ideal candidate will thrive in a fast-paced environment, bringing 3+ years of data engineering experience to design and operate data warehouse infrastructure, build real-time streaming solutions, and collaborate with engineers and scientists on machine learning initiatives. You'll work with advanced AWS technologies like Redshift, S3, Glue, EMR, and Kinesis to create scalable data solutions.

This role presents an exciting opportunity to join Amazon's innovative AIGC team, where you'll have direct impact on business decisions through data-driven insights. You'll own critical data infrastructure while working with cutting-edge AI/ML technologies. The position offers both technical growth and leadership opportunities, making it ideal for engineers passionate about data and analytics at scale.

Last updated 3 months ago

Responsibilities For Data Engineer, AIGC Science and Analytics

  • Own the design, operations and improvements for the Data warehouse infrastructure
  • Engineer solutions to aggregate and automate large scale data flows
  • Collaborate with Engineers and Scientists to construct complex data sources for algorithms and ML models
  • Build real time streaming from internal and external sources
  • Build, analyze and present actionable data for business decisions
  • Improve reporting and analysis processes
  • Automate self-service support for customers

Requirements For Data Engineer, AIGC Science and Analytics

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda)
  • Experience with non-relational databases

Benefits For Data Engineer, AIGC Science and Analytics

Medical Insurance
Equity
  • Medical benefits
  • Financial benefits
  • Equity compensation
  • Sign-on payments
  • Comprehensive benefits package

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