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Data Engineer

Amazon is a global technology and e-commerce company that builds innovative solutions at scale.
Data
Staff Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer

We are seeking an experienced and highly skilled Data Engineer to join our dynamic team within Amazon's Selling Partner Services organization. As a Level 5 Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure and pipelines. The role focuses on building and scaling API authorization and customization systems that empower thousands of global selling partners.

You will be responsible for leading the design and implementation of complex data pipelines, architecting scalable data systems, and collaborating with cross-functional teams to deliver efficient data solutions. The position requires expertise in data modeling, ETL processes, and distributed systems, with a focus on optimizing data storage and retrieval systems.

Our team combines the excitement of a startup with the resources and scale of Amazon. We're building flexible, reliable, and extensible API solutions that help businesses thrive on Amazon's platform. You'll work with cutting-edge technologies and talented professionals who are passionate about creating world-class solutions.

Key technical requirements include 3+ years of data engineering experience, strong SQL expertise, and knowledge of distributed systems. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, and other cloud services is highly valued. You'll have the opportunity to mentor junior engineers, contribute to data governance policies, and drive technical excellence in our data engineering practices.

This role offers the chance to make a significant impact at scale, working with a team that values innovation and technical excellence. You'll be part of Amazon's mission to empower global selling partners while working with some of the most advanced data technologies and practices in the industry.

Last updated 16 hours ago

Responsibilities For Data Engineer

  • Lead the design and implementation of complex data pipelines and ETL processes
  • Architect and develop scalable, high-performance data systems using cloud technologies
  • Collaborate with data scientists, analysts, and business stakeholders
  • Optimize data storage and retrieval systems
  • Implement data quality checks and monitoring systems
  • Mentor junior engineers
  • Evaluate and recommend new technologies
  • Contribute to data governance policies
  • Troubleshoot and resolve complex data-related issues

Requirements For Data Engineer

Python
  • 3+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Knowledge of distributed systems for data storage and computing

Benefits For Data Engineer

  • Workplace Accommodation Available

Interested in this job?

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