Data Engineer, Global Logistics Product Analytics Team

Amazon Inc.; Bellevue (WA); Presencial; USD 132 000 - 179 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

401(k) matching

RSUs

Paid time off

Resumo da oferta

Amazon Inc. is seeking a Data Engineer to design and deliver production-ready data systems that influence how Amazon moves products globally. You will oversee scalable ETL pipelines and CI/CD, manage data platforms on AWS, and collaborate with BI Engineers and Product Managers on data-driven decisions.

The role emphasizes building robust data architectures, data quality, and self-service analytics for internal stakeholders, with exposure to Gen-AI tools like AWS Bedrock.

Qualificações

• Bachelor's degree in CS, Engineering, IS, Mathematics, or related field.
• 3+ years of data engineering experience.
• 1+ years building large-scale BI data structures with ETL/ELT.
• 1+ years building BI data structures with OLAP tech.
• 1+ years data modeling, warehousing, and SQL experience.
• 1+ years Oracle experience.

Responsabilidades

• Design, build, and maintain scalable ETL pipelines and CI/CD to support reporting.
• Manage data platforms on AWS including Redshift, Kinesis, S3, and Lambda.
• Develop and improve data architecture, data quality monitoring, and data availability.
• Build and experiment with Gen-AI tools such as AWS Bedrock.
• Partner with BI Engineers, Product Managers, and other data roles to enable data-driven decisions.
• Develop scalable frameworks for data instrumentation with partner teams.
• Continuously improve self-service reporting and analysis for internal customers.

Conhecimentos

SQL

ETL/ELT

OLAP

Data modeling

Data warehousing

Oracle

Formação académica

Bachelor's degree in CS/Engineering/IS/Math

Ferramentas

Redshift

Kinesis

S3

Lambda

Glue

EMR

FireHose

IAM

Descrição da oferta de emprego

Job ID: 10566090 | Amazon.com Services LLC

Join Amazon's Global Logistics Product Analytics team and help shape the future of data-driven decision-making at scale. We are building a centralized data lake across our Global Logistics imports organization and developing the foundation for Gen-AI powered initiatives that empower stakeholders with real-time insights. As a Data Engineer on our team, you will design and deliver production-ready data systems that directly influence how Amazon moves products around the world.

Key job responsibilities

• Design, build, and maintain scalable ETL pipelines and CI/CD infrastructure to support business and operational performance reporting
• Manage and administer data platforms built on AWS services including Redshift, Kinesis, S3, and Lambda
• Develop and improve data architecture, data quality monitoring, and data availability across the organization
• Build and experiment with Gen-AI tools such as AWS Bedrock to support intelligent data solutions
• Partner with Business Intelligence Engineers, Product Managers, and other data roles to enable data-driven program decisions
• Develop scalable frameworks for data instrumentation in collaboration with partner tech teams
• Continuously improve self-service reporting and analysis processes for internal customers

A day in the life

Your day will be dynamic and impactful, involving collaborative work with cross-functional teams to develop sophisticated data architectures. You'll design and implement robust ETL pipelines, experiment with generative AI tools, and continuously refine our data ecosystem to support critical business decisions.

About the team

The Global Logistics Product Analytics team is dedicated to transforming logistics operations through innovative, centralized data solutions. We value technical creativity, collaborative problem-solving, and the ability to turn complex data into clear insights. Our team is building the data foundation that powers intelligent, data-driven strategies across Amazon's global supply chain.

Basic Qualifications

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• 3+ years of in the job offered or a related occupation experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.