Amazon's Selling Partner Insights and Analytics (SPIA) team is looking for an
experienced Data Engineer to help architect and build the data platform that
powers Paragon, Amazon's second-largest Human-in-the-Loop platform. Paragon
processes over 500 million cases every year and serves 200+ teams and 70,000+
users who handle support and investigation work across Selling Partner Services.

This is a high-impact role for a self-starter who thrives in a fast-paced,
ever-changing environment and has a genuine passion for building data-intensive
applications. With access to vast datasets and a strong organizational focus on
AI/LLM, you will help redefine how data is accessed, trusted, and applied across
Selling Partner Services, directly influencing customer experience and
operational excellence in the world's largest e-commerce ecosystem.

Key job responsibilities
- Design and operate scalable, cost-effective data infrastructure and pipelines
on native AWS technologies, curating data for reporting, analytics, and LLM/ML
models.




- Define logical data models and architectures that scale with Paragon's growth
into Emerging Marketplaces and worldwide use cases.
- Partner with business owners and technical leaders to gather requirements,
shape data architecture, and deliver solutions that meet real business needs.
- Drive Best-At-Amazon (BAA) standards for system efficiency, IMR efficiency,
data availability, consistency, and compliance.
- Enable productive data exploration on large datasets and implement data access
controls for stand-alone datasets.
- Build automation that raises the bar on operational excellence, and contribute
across the full data engineering lifecycle: design, development, testing, and
maintenance. Basic Qualifications: - 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX,
HiveQL, SparkSQL, Scala)
- E

📌 Data Engineer, Selling Partner Insights and Analytics, SPS (Bengaluru)
🏢 Amazon
📍 Bengaluru