Data Engineer, FinAuto

Are you interested in building high-performance and globally scalable reporting and analytics infrastructure that support Amazon's Global Real Estate and Facilities (GREF) organization's current and future growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? Do you have a passion for ensuring a positive customer experience? This is the opportunity for you.

In Finance Automation, we built technology to simplify and automate the processes Amazon uses to manage its financial relationships with external stakeholders. We are on a journey to create technology that simplifies the processes that Amazon uses to procure, collect and pay. We recently formed a new GREF Technology team which is the software development team for GREF. This team builds products and tools to enable Amazon's corporate real estate team as they build and operate the company's facilities worldwide.

The GREF Tech team is looking for a passionate, solution-oriented Data Engineer to lead the implementation of the analytical data infrastructure that will guide the decision making behind initiatives such as space planning, design and construction, corporate security, travel, transportation, lease, facilities, and other key projects within the Global Real Estate and Facilities (GREF) domain.

The team is committed to building the next generation reporting and analytics platform to support Amazon's rapidly growing workforce and improve employee experience. Our projects span multiple organizations and require coordination of data integrity, test design, analysis, validation, and documentation.

Key Responsibilities:

• Act as the business-facing subject matter expert for data storage and feature instrumentation, managing end-to-end execution and delivery across various work streams.
• Drive data architecture across many large datasets, perform exploratory data analysis, implement new data pipelines that feed into or from critical data systems at Amazon.
• Design and implement scalable ETL processes in the AWS platform to support the rapidly growing and dynamic business demand for data.
• Hold a highly visible role that requires interaction with leaders across Finance Automation and GREF.
• Provide technical leadership on high-impact cross-functional initiatives.

This role offers an exciting opportunity to work on cutting-edge data engineering projects in a fast-paced, innovative environment at one of the world's leading technology companies.