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Business Intelligence Engineer, Supply Chain Business Insights

Amazon· MX Supply Chain Business Insights
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Mexico CityFull-timePosted 2w ago

About the role

Help shape the data foundation behind one of Amazon's fastest-growing supply chain networks in Mexico. Build pipelines, analytics, and cloud-native solutions to turn raw data into trusted intelligence, embed GenAI/ML capabilities, and deliver insights across Mexico's Supply Chain to improve operational performance.

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 provide insights to stakeholders
  • Deploy and manage cloud-native data solutions on AWS through infrastructure-as-code based deployments
  • Collaborate with stakeholders across Supply Chain functional areas 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 datasets to support reporting, ad-hoc analysis, and metric development
  • Establish and follow engineering best practices including code reviews, testing, monitoring, documentation, and logging
  • Proactively identify opportunities to improve data availability, reduce time-to-insight, and automate manual reporting processes
  • Support the team's GenAI/ML initiatives by preparing governed, high-quality datasets and contributing to data products that enable AI workflows

Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience using Python scripting to process data for modeling
  • 3+ years of processing large, multi-dimensional datasets from multiple sources experience
  • Experience using SQL to pull data from a database or data warehouse
  • Experience with data modeling, warehousing and building ETL pipelines
  • Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or related field, or 2+ years of Amazon RME Full Time Exempt experience
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with AI/ML technologies
  • Experience building and operating a cloud-based architecture

Skills

Required:PythonSQLETL / Data Pipelines
Nice to have:AWS
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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