Data Engineer

Global technology and e-commerce company that leads in cloud computing, digital streaming, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

Description For Data Engineer

The Amazon Business Analytics and Data Science (BADS) team is seeking a Data Engineer to build automation solutions for their highly scalable data platform using AWS technologies. This role combines data engineering expertise with systems development, requiring strong skills in Python and data warehouse management. You'll be responsible for creating and managing python-based automation solutions, working with AWS technologies, and handling enterprise-scale data warehouse solutions. The position involves collaborating with analysts and engineers to translate data into meaningful insights and playing a key role in strategic decision-making. The ideal candidate should have deep expertise in data automation and the ability to work with complex data sources. This role at Amazon offers the opportunity to work with cutting-edge technologies while solving challenging problems that impact business operations at a global scale. The position includes comprehensive benefits and the chance to work with one of the world's leading technology companies. You'll be part of a team that values innovation, analytical thinking, and technical excellence, while contributing to solutions that drive Amazon's data-driven decision-making processes.

Last updated 4 hours ago

Responsibilities For Data Engineer

  • Create and manage python-based automation solutions using AWS technologies
  • Prioritize and deliver structured and ad-hoc data automation projects
  • Manage and automate enterprise scale data warehouse solution within AWS
  • Troubleshoot and support new and existing coding solutions
  • Collect, analyze and present actionable data insights

Requirements For Data Engineer

Python
Java
  • 4+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience building/operating highly available, distributed systems of data extraction
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda
  • Experience in Python, Java, Scala, or NodeJS

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

Interested in this job?

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