About the Role

Data Engineer role focused on designing and building scalable data pipelines and infrastructure to support advanced analytics and machine learning models for Amazon's largest vendors. The position involves working with AWS technologies, collaborating with scientists and product managers, and contributing to the development of paid services solutions.

Key Responsibilities

• Define requirements and design for scalable deployment of solutions through paid services using AWS and CDK
• Build and maintain automated data pipelines for scientific models
• Utilize Amazon systems and tools to work with terabytes of data
• Apply models developed by science team to vendor use cases and draw business conclusions
• Contribute to and maintain internal team data engineering infrastructure and solutions

Required Skills & Qualifications

Must Have:

• 3+ years of data engineering 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
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)