GenAI-Ready BI Engineer — Mexico Supply Chain Insights

Amazon; México; On-site; MXN 600,000 - 900,000; Full time

Job summary

Servicios Comerciales Amazon Mexico S. de R.L. de C.V. is seeking a Business Intelligence Engineer to design, build, and maintain scalable data pipelines for the MX Supply Chain BI team. You will work with AWS data services, Python code, and SQL-based analytics to drive Mexico's supply chain decisions.

Join a team that collaborates across 10 functional areas to deliver trusted insights, reinforce data governance, and enable GenAI-enabled analytics across the network.

Qualifications

• 3+ years analyzing data with Redshift/Oracle/NoSQL and building data models.
• Proficient in Python for data processing and modeling.
• Experience with SQL to pull data from warehouses and data visualization tools.

Responsibilities

• Design, build, and maintain scalable ETL/big-data pipelines on AWS.
• Write production-grade Python code for data transformation and ML workflows.
• Create high-quality datasets with metadata for stakeholders.
• Deploy and manage cloud-native data solutions on AWS via IaC.
• Collaborate with Supply Chain functions to translate questions into analytics.
• Contribute to AI-ready data lakehouse platform and governance.
• Write and optimize SQL, Spark SQL, and PySpark queries on large datasets.
• Follow engineering best practices: code reviews, testing, monitoring, logging.

Skills

Python programming

SQL querying

Data analysis

Redshift / data warehousing

ETL pipelines

AI/ML technologies

Cloud-based architecture

Spark / PySpark

Education

Bachelor's degree or higher in related field

Amazon RME FT exempt experience (2+ yrs)

Tools

AWS

Tableau

Quicksight

Python IDEs

Job description

Servicios Comerciales Amazon Mexico S. de R.L. de C.V. is seeking a Business Intelligence Engineer to design, build, and maintain scalable data pipelines for the MX Supply Chain BI team. You will work with AWS data services, Python code, and SQL-based analytics to drive Mexico's supply chain decisions.

Join a team that collaborates across 10 functional areas to deliver trusted insights, reinforce data governance, and enable GenAI-enabled analytics across the network.