Data Engineer I, LATAM CARPOOL
Share
Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
The LATAM Data Engineer is a technical contributor responsible for building and maintaining data pipelines AI-ready data warehouses and scalable infrastructure that powers GenAI reasoning agents and BI solutions across Amazons Mexico and Brazil Retail operations. This role combines traditional data engineering with AI agentic frameworks enabling Retail stakeholders in MX and BR to access accurate real-time data through both traditional dashboards and conversational AI interfaces.
The team is Amazon LATAMs data and AI center of excellence serving internal users across Mexico and Brazil. We build the infrastructure that powers our GenAI backenda general-purpose reasoning engine that connects to any data source and enables rapid deployment of AI solutions.
Key job responsibilities
1. AI-Ready Data Warehouse Development
Build and maintain the common metric warehouse that serves as the single source of truth for all GenAI reasoning agents. This ensures every agent consults consistent accurate data when analyzing business metrics generating hypotheses and validating insights.
2. Data Pipeline Engineering
Design and implement scalable ETL/ELT pipelines that power both traditional BI and AI solutions:
3. Reasoning Agent Data Infrastructure
Enable reasoning agentic solutions by building robust data foundations that support:
- Document Analysis Workflows* Pipelines feeding multi-phase workflows where agents read analyze generate hypotheses and validate against real data
- Financial Data Integration: P&L account data with historical patterns for automated analysis and hypothesis generation
- Selection Analysis Data* Funnel and discoverability metrics at product and buying-situation granularity for automated decision support
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Our 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 the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The team is Amazon LATAMs data and AI center of excellence serving internal users across Mexico and Brazil. We build the infrastructure that powers our GenAI backenda general-purpose reasoning engine that connects to any data source and enables rapid deployment of AI solutions.
Key job responsibilities
1. AI-Ready Data Warehouse Development
Build and maintain the common metric warehouse that serves as the single source of truth for all GenAI reasoning agents. This ensures every agent consults consistent accurate data when analyzing business metrics generating hypotheses and validating insights.
2. Data Pipeline Engineering
Design and implement scalable ETL/ELT pipelines that power both traditional BI and AI solutions:
3. Reasoning Agent Data Infrastructure
Enable reasoning agentic solutions by building robust data foundations that support:
- Document Analysis Workflows* Pipelines feeding multi-phase workflows where agents read analyze generate hypotheses and validate against real data
- Financial Data Integration: P&L account data with historical patterns for automated analysis and hypothesis generation
- Selection Analysis Data* Funnel and discoverability metrics at product and buying-situation granularity for automated decision support
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Our 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 the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
