About the Role

The Data Engineer role in Amazon's MIDAS team focuses on developing foundational analytical datasets and data pipelines using AWS services and internal tools. This position involves building scalable data infrastructure, improving data quality and availability, and collaborating with cross-functional teams to support data-driven decisions across Amazon's digital businesses.

Key Responsibilities

• Develop data products, infrastructure and data pipelines leveraging AWS services and internal BDT tools
• Improve existing solutions/build solutions to improve scale, quality, efficiency, data availability, consistency & compliance
• Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable data pipelines
• Drive operational excellence within the team 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
• 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