Amazon Sr Data Engineer Advertising Finance 

United States, Washington, Seattle 

568297858

Key job responsibilities
- Translate ambiguous business questions into clear analytical requirements. Engage with economists, finance leaders, and product teams to scope the right data, metrics, and deliverables for each decision.
- Design, build, and own end‑to‑end data solutions. Develop scalable ETL pipelines, dimensional models, and automated QA checks that power dashboards, self‑service reports, and machine‑learning features.
- Deliver intuitive BI products. Create and maintain AWS QuickSight/Tableau dashboards and ad‑hoc analyses that surface daily performance, long‑term trends, and experiment results to stakeholders across Finance and Product.
- Enable science at scale. Provide high‑quality, documented data sets and feature stores that accelerate econometric and forecasting models—and partner with scientists to productionize their outputs.
- Mentor and upskill the org. Act as the senior SME for SQL, Python, and visualization best practices, raising the BI bar through code reviews, training sessions, and tooling guidance.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling