About the Role

This Data Engineer II role at Amazon's ShipTech Analytics focuses on building scalable data infrastructure and products to revolutionize global transportation through data-driven innovation and AI. The engineer will design secure data pipelines, process petabytes of data daily, and provide actionable insights for operational excellence.

Key Responsibilities

• Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
• Build and maintain high-performance ETL processes that handle large-scale, complex datasets
• Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
• Transform raw data into actionable insights through effective data modeling and integration
• Implement best practices in data system creation, data integrity, and documentation

Required Skills & Qualifications

Must Have:

• 3+ years of data engineering experience
• 4+ years of SQL experience
• Experience with data modeling, warehousing and building ETL pipelines

Nice to Have:

• 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)