Tecnología

Business Intelligence Engineer, Supply Chain Business Insights

Amazon · Ciudad de México, Ciudad de México

Sitio de la empresa: amazon.com.mx

Presencial en Ciudad de México, Ciudad de México · Tiempo completo

PresencialTiempo completoCierra el 29/11/2026

Descripción

Amazon México – Help shape the data foundation behind one of Amazon's fastest-growing supply chain networks — and put AI in the hands of the people who move millions of packages across Mexico every day. This is your chance to build the pipelines, analytics, and cloud-native solutions that turn raw data into trusted, accurate intelligence for an organization at the forefront of GenAI adoption. As a Business Intelligence Engineer on the MX Supply Chain BI team, you will design, build, and maintain scalable data pipelines, reporting solutions, and analytical tools that power decisions across Mexico's Supply Chain — from network planning and capacity to last mile operations. You will work with large-scale datasets on AWS, write production-grade Python code, deploy cloud-based solutions, and partner with stakeholders across 10 functional areas to deliver insights that drive operational performance. You will contribute to the team's AI-ready data lakehouse platform and help embed GenAI and ML capabilities into the analytics portfolio. Key job responsibilities Design, develop, and maintain scalable ETL/big-data pipelines using AWS services following medallion-architecture best practices Write production-grade Python code for data transformation, automation, statistical analysis, and integration with AI/ML workflows Build high quality datasets with robust metadata for agents to consume and give insights to our stakeholders. Deploy and manage cloud-native data solutions on AWS through infrastructure-as-code based deployments. Collaborate with stakeholders across Supply Chain functional areas (Topology, S&OP, Network Planning, Middle Mile, Last Mile, Sort Centers, Operations) to translate busine

Requisitos

Otros requisitos

+ years of analyzing and interpreting data with Redshift / Oracle / NoSQL etc. experience · IndispensableExperience using Python scripting to process data for modeling · Indispensable+ years of processing large / multi-dimensional datasets from multiple sources experience · IndispensableExperience using SQL (Structured Query Language) to pull data from a database or data warehouse · IndispensableExperience with data modeling / warehousing and building ETL pipelines · IndispensableBachelor's degree or above in business administration / finance / economics / computer science / data science / engineering / or other related field / or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience · IndispensableExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling · IndispensableExperience with data visualization using Tableau / Quicksight / or similar tools · IndispensableExperience with AI/ML technologies · IndispensableExperience with AWS solutions such as EC2 / DynamoDB / S3 / and RedshiftExperience in data mining / ETL / etc. and using databases in a business environment with large-scale / complex datasetsExperience developing and presenting recommendations of new metrics allowing better understanding of the performance of the businessExperience with forecasting and statistical analysisOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process / including support for t
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