Data Engineer I, Amazon Publisher Monetization, Analytics

Key job responsibilities

• Design, build, and optimize data models and end-to-end data pipelines across APM's publisher data leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools
• Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools
• Measure and improve data quality across the datasets you own — investigating anomalies, troubleshooting pipeline issues, and ensuring reliability
• Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products
• Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security
• Work alongside other data engineers, business intelligence engineers, and scientists to support business decisions across APM

About the team

The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).

Basic Qualifications

• Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
• 2+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• 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)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR