Data Engineer I, SPS

Amazons 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 Amazons second-largest Human-in-the-Loop platform. Paragon processes over 500 million cases every year and serves 200 teams and 70000 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 worlds 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 Paragons 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 efficient 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.

- 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)
- Experience with one or more scripting language (e.g. Python KornShell)
- Bachelors degree or above in Computer Science Computer Engineering Information Management Information Systems or other related discipline

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Knowledge of AWS Infrastructure

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