About the Role

The Data Engineer will develop foundational analytical datasets and data pipelines for Amazon's digital businesses using AWS services and internal tools. They will partner with cross-functional teams to enable data-driven decisions and improve data quality and availability.

Key Responsibilities

• Develop data products, infrastructure, and pipelines using AWS services and internal tools
• Improve existing solutions to enhance scale, quality, efficiency, and compliance
• Partner with Software Developers, BI Engineers, MLEs, Scientists, and Product Managers
• Drive operational excellence and build automation to reduce operations

Required Skills & Qualifications

Must Have:

• Bachelor's degree
• 3+ years of data engineering experience
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience working on and delivering end to end projects independently
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Nice to Have:

• 5+ years of data engineering experience
• 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)
• Knowledge of Engineering and Operational Excellence using standard methodologies