10 oct
|
Amazon
|
Ciudad de México
10 oct
Amazon
Ciudad de 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 business questions into analytical solutions
Contribute to the team's AI-ready data lakehouse platform (Apache Iceberg on serverless AWS), ensuring data quality, governance, and single-source-of-truth standards
Write and optimize complex queries on SQL, Spark SQL and PySpark across large-scale datas
📌 Business Intelligence Engineer, Supply Chain Business Insights (Ciudad de México)
🏢 Amazon
📍 Ciudad de México