Job Description
As a Data Engineer II in Amazon"s Global Logistics (GL) Exports team, you will play a crucial role in supporting Amazon"s vision of providing worldwide cross-border product selection at competitive prices. You"ll leverage data and analytics to enhance experiences for customers, sellers, and vendors navigating international trade and logistics. Your work will directly impact Amazon"s ability to scale globally and deliver innovative solutions in e-commerce.
Key job responsibilities
- Design and build scalable ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, EMR, Lambda, Kinesis)
- Develop data architecture, schemas, and internal tools/APIs for analytics and reporting
- Work with relational and non-relational databases ensuring data quality and scalability
- Manage AWS resources and implement security controls, data governance, and compliance standards
- Ensure operational excellence through monitoring, troubleshooting, and root cause analysis
- Automate processes to increase efficiency and enable self-service capabilities
- Partner with Software Developers, Data Scientists, and business stakeholders to deliver data solutions
- Participate in code reviews, design discussions, and provide technical leadership
- Apply AI/ML technologies (generative AI, LLMs) to data engineering use cases
- Skilled at designing and building internal tools, APIs, or software applications that serve data products or automate business processes
A day in the life
Your typical day might involve collaborating with cross-functional teams to understand data requirements, designing and implementing ETL pipelines, optimizing queries for better performance, and exploring new AWS technologies to enhance our data infrastructure. You"ll work on complex data challenges, contribute to the team"s technical discussions, and play a key role in driving data-driven decision-making across the organization.
About the team
You"ll join Amazon"s Global Logistics (GL) team, working at the forefront of global trade and logistics innovation. This role offers an exciting opportunity to solve complex challenges with data and drive significant business impact. You"ll be part of a team dedicated to shaping the future of e-commerce and global trade through data-driven solutions.
Numbers & Facts
| Location | Bellevue, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- AWS Lambdaunmatched
- Amazon Simple Storage Service (S3)unmatched
- Amazon Web Services (AWS)unmatched
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Business Processesunmatched
- Code Reviewsunmatched
- Cross-Functionalunmatched
- Customer Experienceunmatched
- Data Analysisunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Database Extract Transform and Load (ETL)unmatched
- Electronic Medical Recordsunmatched
- Identify Issuesunmatched
- Logisticsunmatched
- Performance Tuning/Optimizationunmatched
- Python Programming/Scripting Languageunmatched
- Query Optimizationunmatched
- Regulatory Complianceunmatched
- Relational Databases (RDBMS)unmatched
- Resource Managementunmatched
- Root Cause Analysisunmatched
- SQL (Structured Query Language)unmatched
- Salesunmatched
- Scalable System Developmentunmatched
- Software Developmentunmatched
- Technical Leadershipunmatched
- Use Casesunmatched
- eCommerceunmatched
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