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Job Description

Join Amazon's International Seller Services central analytics data engineering group to design scalable data and ML infrastructure powering GenAI applications.

Responsibilities

  • Provide technical leadership, drive data engineering initiatives, and deliver end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
  • Work with large datasets, organizing and curating data for analytics with a strategic, long term view on architecting advanced data ecosystems.
  • Build efficient and scalable data services and integrate data systems with AWS tools and services to support diverse customer use cases and applications.
  • Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
  • Implement data ingestion routines using best practices in data modeling and ETL/ELT processes by leveraging AWS technologies and big data tools.
  • Gather business and functional requirements and translate them into robust, scalable, operable solutions with a flexible data architecture.
  • Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
  • Identify opportunities to improve existing data solutions and drive continuous enhancements.

Requirements

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
  • 3+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • 1+ years developing and operating large-scale data structures for business intelligence analytics, including ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.
  • 3+ years of non internship data engineering experience.

Technologies

  • Redshift
  • S3
  • AWS Glue
  • EMR
  • Kinesis
  • FireHose
  • Lambda
  • IAM
  • Oracle
  • SQL

Compensation

  • USD 132,100 - 178,800 per year

Benefits

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Adoption and Surrogacy Reimbursement coverage
  • Employee Assistance Program (EAP)
  • Mental Health Support
  • Medical Advice Line
  • Flexible Spending Accounts
  • Basic Life & AD&D insurance
  • Supplemental life plans

Description

Based in Seattle, WA onsite, join Amazon's International Seller Services Central Analytics Data Engineering team, tackling modern data challenges by blending traditional engineering practices with transformative analytics and GenAI.

ISS is seeking a motivated, experienced Data Engineer to help design and build the next generation of data and ML infrastructure to power GenAI applications.

We collaborate with Applied Scientists, Data Scientists, and Economists to translate ML research into scalable products that serve customers around the world.

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