Data Engineer I, Worldwide Operations Finance, WW Ops Finance S&A, WW Ops Finance S&A (Bengaluru)

Data Engineer I, Worldwide Operations Finance, WW Ops Finance S&A, WW Ops Finance S&A (Bengaluru)

09 Oct
|
Amazon
|
Bengaluru

09 Oct

Amazon

Bengaluru

Are you excited about turning complex financial data into trusted, actionable insights that help Amazon operate more efficiently across the globe? The Worldwide Operations Finance team is looking for a Business Intelligence Engineer I to help build and scale a unified data platform that supports over 100 active finance users across 11 countries. In this role, you will build scalable data pipelines, create AI-powered dashboards, and deliver curated datasets that drive cost-performance tracking, weekly business reviews, and monthly book closures. You will work at the intersection of operations and finance analytics, replacing legacy regional data stores with consolidated, standardized datasets that tracks 500+ operational and cost metrics at daily granularity. This is a great time to join: the team is revamping the legacy datasets , dashboards and processes and is actively migrating to a new AWS-based infrastructure, giving you hands-on experience working on migrating to CI/CD deployed pipelines, while expanding coverage to current markets.

Key job responsibilities
* Design, build,



and maintain scalable ETL pipelines and data solutions using Python, SQL, Spark, and AWS services (S3, Glue, Redshift, Airflow, EMR, Lambda)
* Optimize query performance and resource usage across the data platform, participate in code reviews and design discussions, and identify process improvements that increase automation and reduce manual effort
* Document solutions thoroughly to ensure maintainability, validate outputs against source data and business logic, and handle data in accordance with Amazon policies
* Develop AI-powered dashboards and intelligent agents that automate metrics bridging, commentary generation, and deep-dive queries, enabling finance users to make faster data-driven decisions
Collaborate with finance stakeholders, data engineers, and product teams to gather requirements, integrate data feeds from multiple sources, and ensure datasets are accurate, accessible, and alig

📌 Data Engineer I, Worldwide Operations Finance, WW Ops Finance S&A, WW Ops Finance S&A (Bengaluru)
🏢 Amazon
📍 Bengaluru

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