Position Details
About this role
Data Engineer on the Selling Partner Insights and Analytics (SPIA) team responsible for architecting and building scalable data platforms that support seller analytics and AI/LLM initiatives.
Key Responsibilities
- design, implement and support scalable data infrastructure; integrate diverse data sources; build data pipelines and datasets for reporting, analysis and LLM models; create logical data models; design scalable architectures for robust applications and pipelines
Technical Overview
Design scalable data architectures using native AWS technologies, build data pipelines and datasets, and create coherent data models to drive physical design and deployment across SPIA.
Ideal Candidate
The ideal candidate is a data engineer with 2+ years of data engineering experience, strong SQL and Python skills, and hands-on experience modeling, warehousing, and ETL pipelines. Familiarity with AWS big data services and iterative design for ML/LLM workflows is a plus.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 2+ years data engineering experience, No experience with AWS data services, No SQL or ETL experience
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