Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Key Responsibilities:
- Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as Glue, Lambda, Step Functions, and Redshift




- Implement and maintain robust database architectures, ensuring effective data modeling, normalization, and query optimization for large-scale analytics platforms
- Write, review, and optimize complex SQL queries for data extraction, transformation, and loading across multiple AWS data stores
- Develop automation scripts and data engineering solutions using Python to streamline data ingestion, transformation, and cloud-native application processes
- Monitor, troubleshoot, and resolve technical issues in cloud-based data workflows, ensuring high availability and reliability of data services
- Collaborate with application support teams to resolve Hypercare tickets, providing technical guidance and root cause analysis for data-related issues
- Integrate AWS services such as S3, EventBridge, and Aurora to support real-time and batch data processing requirements
- Enhance data processing performance by

📌 Data Engineer (Jalisco)
🏢 Brillio
📍 Jalisco