Data Engineer II, Global Logistics, Exports
Amazon
Data Engineer II, Global Logistics, Exports
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.
Locations
- Bellevue, Washington, United States
Salary
132,100 - 178,800 USD / yearly
Skills Required
- data modelingintermediate
- at least one modern scriptingintermediate
- AWS technologies like Redshiftintermediate
- non-relational databases / data storesintermediate
Required Qualifications
- 3+ years of data engineering experience (experience, 3 years)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 2 years)
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets (experience)
- Experience working proactively and independently, meeting deadlines, and delivering on projects and tasks (experience)
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) (experience)
- Bachelor's degree or above in Engineering, Technology, Science, Operations Research, Robotics, Mathematics or related fields, or a PhD and experience working for Amazon or any Amazon subsidiary or affiliate (experience)
- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! (experience)
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
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