Geospatial Data Engineer , WW Sustainability

Description

Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable.

The Sustainability Measurement & Abatement Technology team builds technical solutions to track, record, and forecast Amazon's WW impact on the Environment (i.e., Carbon, Water, Waste, etc.). This includes calculating past and current impacts and future abatement plans, ensuring credibility through standards and validations, and highlighting non-obvious opportunities for Amazon’s global business teams.

We are looking for a Data Engineer to help us extend our geospatial capabilities to build sustainable experiences for customers s individual will play a critical role in establishing the foundational data infrastructure that scales metric derivation for assessments requiring area-based analysis and insights.

This role focuses on building ready and fit for use risk factor data (such as hazards, vulnerability, etc.), derived from climate, weather, and socioeconomic geospatial datasets from various internal and external sources. We build systems to evaluate and vend the geospatial data required for risk assessment activities that ultimately influence operational planning mechanisms.

Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable.

The Sustainability Measurement & Abatement Technology team builds technical solutions to track, record, and forecast Amazon's WW impact on the Environment (i.e., Carbon, Water, Waste, etc.). This includes calculating past and current impacts and future abatement plans, ensuring credibility through standards and validations, and highlighting non-obvious opportunities for Amazon’s global business teams.

We are looking for a Data Engineer to help us extend our geospatial capabilities to build sustainable experiences for customers s individual will play a critical role in establishing the foundational data infrastructure that scales metric derivation for assessments requiring area-based analysis and insights.

This role focuses on building ready and fit for use risk factor data (such as hazards, vulnerability, etc.), derived from climate, weather, and socioeconomic geospatial datasets from various internal and external sources. We build systems to evaluate and vend the geospatial data required for risk assessment activities that ultimately influence operational planning mechanisms.

• Own the operations of Amazon World-Wide Sustainability’s geospatial data, including ingestion, documentation, quality, and metadata management
• Design, develop, and program methods and processes to consolidate unstructured data from bespoke sources
• Design, implement, and automate deployment of data pipelines using CI/CD practices and multiple programming languages (Python/Scala/Java) to collect, process, and store data that serves as source of truth for organizational metrics.
• Build and optimize data infrastructure using AWS services (Redshift, S3, Glue, EMR, Step Functions, Event Bridge)
• Develop and maintain ETL/ELT processes using diverse frameworks including PySpark, Apache Spark…