About the Role

The Data Engineer II role involves building scalable data pipelines and infrastructure to support ML model development and deployment for Amazon Logistics' learning programs. Responsibilities include designing data systems, implementing CI/CD pipelines, and collaborating with data scientists to translate requirements into technical solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for ML model development and production deployment
• Implement and maintain CI/CD pipelines for data and ML solutions
• Collaborate with applied/data scientists to understand data requirements and implement efficient data processing solutions
• Create and manage data warehouses and data lakes with proper governance and security
• Stay current with emerging technologies and propose innovative solutions to improve data infrastructure

Required Skills & Qualifications

Must Have:

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, etc.)
• Experience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS)

Nice to Have:

• Experience with non-relational databases / data stores
• Experience providing technical leadership and mentoring other engineers
• Master's degree in computer science, engineering, analytics, mathematics, statistics, or IT

Benefits & Perks

• Medical benefits
• Financial benefits
• Equity and sign-on payments may be provided