Data Engineer I, SPS
Technology, Data & Digital · Data, AI & Analytics · Data Engineering
In short
Amazon's Selling Partner Insights and Analytics (SPIA) team is recruiting an experienced Data Engineer to design and build the data platform for Paragon, a critical system processing over 500 million cases annually. This role focuses on leveraging vast datasets and AI/LLM technologies to redefine data accessibility and application within e-commerce, directly impacting customer experience and operational excellence.
Responsibilities
- Design and operate scalable, cost-effective data infrastructure and pipelines on native AWS technologies.
- Curate data for reporting, analytics, and LLM/ML models.
- Define logical data models and architectures that scale with Paragon's growth.
- Partner with business owners and technical leaders to gather requirements, shape data architecture, and deliver solutions.
- 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.
- Build automation that raises the bar on operational excellence.
- Contribute across the full data engineering lifecycle: design, development, testing, and maintenance.
Requirements
- 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)
- Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
Desired Qualifications
- 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
#Data Engineering#Data Platform#Analytics#AI#LLM#AWS