Data Engineer, Conversational Shopping Data Engineering
Technology, Data & Digital · Data, AI & Analytics · Data Engineering
In short
We are seeking an intermediate-level Data Engineer to design and implement data products and solutions for our conversational shopping platforms, focusing on AI-powered customer experiences. Responsibilities include building scalable data pipelines, managing large datasets, and mentoring junior engineers.
Responsibilities
- Design and implement data products and solutions for shopping platforms.
- Own medium to large data initiatives and participate in architectural discussions.
- Build scalable data systems for PB and streaming data with 100K TPS.
- Build data products for mission-critical analytical reports and metrics for Amazon AI products.
- Design, create, manage, and utilize extremely large datasets.
- Build scalable data systems while maintaining high standards of data quality and reliability.
- Utilize Agentic AI to build data products and solutions.
- Mentor entry-level engineers.
- Design, build, and maintain scalable data pipelines.
- Collaborate with engineering teams for instrumentation.
- Seek innovative approaches to design/update data flows.
- Integrate data products with other internal teams.
- Ensure timely, trustworthy data delivery.
Requirements
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
Desired Qualifications
- 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)
Benefits
- Inclusive culture that empowers Amazonians to deliver the best results for customers.
- Workplace accommodations and adjustments for individuals with disabilities during the application and hiring process.
#Data Engineering#Conversational Shopping#AI