Experience Range: 4 to 7 years of experience, including hands-on AWS data engineering and cloud-based data pipeline development
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:
• 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

Preferred Skills:
• AWS analytics services such as Athena, EMR, and OpenSearch
• Infrastructure-as-code tools like CloudFormation
• Amazon SNS and SQS for messaging and event

📌 AWS data Engineering (Guadalajara)
🏢 Brillio
📍 Guadalajara