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Big Data Engineer II - Profit Intelligence - Amazon.com
Data Engineer
Senior data engineer focused on building automated profit‑and‑loss forecasting tools for Amazon Retail, leveraging AWS, Spark, and advanced ETL pipelines to deliver scalable BI solutions.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines for profit‑and‑loss forecasting using AWS services and Spark.
- Collaborate with data scientists and business stakeholders to translate analytical requirements into robust, production‑ready solutions.
- Optimize data models and queries for performance, ensuring high data quality and reliability across the Physical Consumer business.
- Evaluate and integrate emerging big data technologies to continuously improve the data platform.
- Document architecture, processes, and best practices for cross‑team knowledge sharing.
Requirements
- 5+ years of experience in data engineering with a strong focus on big data technologies.
- Deep understanding of data modeling, performance tuning, and data quality best practices.
- Excellent problem‑solving skills and ability to work in a fast‑paced, dynamic environment.
- Strong communication skills and a collaborative mindset.