Data Engineer II, Intelligence & Industrialization

About the role

Are you passionate about building data infrastructure that operates at massive scale? Do you want your work to directly lower costs for hundreds of millions of customers worldwide? As a Data Engineer II on the Intelligence & Industrialization (I&I) team, you'll own the design and delivery of scalable data solutions that power Amazon's global transportation procurement and international customs operations.

Responsibilities

• Design, build, and own scalable data infrastructure on AWS (Redshift, S3, Glue, EMR) that delivers reliable access to large-scale transportation and customs datasets for cross-functional stakeholders
• Architect and implement end-to-end ETL pipelines that ingest, transform, and load data from diverse sources, ensuring timely delivery of critical business metrics with a focus on automation, efficiency, and fault tolerance
• Drive database performance optimization through workload management, query tuning, and monitoring strategies that maintain high availability and fast response times for analytical workloads
• Enable data-driven decision-making by partnering with BI Engineers and Data Scientists to deliver self-service analytics, data visualization, and machine learning solutions that reduce time-to-insight
• Establish and maintain data quality frameworks, data catalogs, and governance processes that protect data integrity and empower business users to discover and trust the data they rely on

Requirements

• Bachelor's degree in Computer Science, Engineering, or related fields
• 3+ years of data engineering experience
• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Knowledge of transportation or supply chain
• Experience with quantitative data analysis and statistics

Qualifications

• Master's degree
• 5+ years of data engineering experience

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.