About Brillio:

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.

Data Engineer

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 implementing best practices in data warehousing and contributing to system performance tuning initiatives

Required Skills:

- 4 to 7 years of experience, including hands-on AWS data engineering and cloud-based data pipeline development
- AWS Glue, Lambda, Step Functions, and EventBridge
- Amazon S3, Redshift, and Aurora
- Database design, data modeling, and normalization techniques
- Complex SQL query development and optimization
- Python programming for data engineering, ETL development, and automation
- Building and maintaining scalable data pipelines on AWS
- Data warehousing concepts and performance tuning
- AWS CloudWatch for monitoring and alerting
- Amazon DynamoDB and Amazon Kinesis for data streaming and storage

Why Join Us?

Be a part of a dynamic and innovative environment where your contributions directly influence business outcomes.

Collaborate with talented professionals and work on cutting-edge technology stacks.

Opportunity to lead impactful projects that solve real-world problems.

If you're ready to take on this exciting challenge and bring your expertise to our team, apply now!

📌 Data Engineer (Guadalajara)
🏢 Brillio
📍 Guadalajara