Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune **** 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 RedshiftImplement and maintain robust database architectures, ensuring effective data modeling, normalization, and query optimization for large-scale analytics platformsWrite, review, and optimize complex SQL queries for data extraction, transformation, and loading across multiple AWS data storesDevelop automation scripts and data engineering solutions using Python to streamline data ingestion, transformation, and cloud-native application processesMonitor,



troubleshoot, and resolve technical issues in cloud-based data workflows, ensuring high availability and reliability of data servicesCollaborate with application support teams to resolve Hypercare tickets, providing technical guidance and root cause analysis for data-related issuesIntegrate AWS services such as S3, EventBridge, and Aurora to support real-time and batch data processing requirementsEnhance data processing performance by implementing best practices in data warehousing and contributing to system performance tuning initiativesRequired Skills:4 to 7 years of experience, including hands-on AWS data engineering and cloud-based data pipeline developmentAWS Glue, Lambda, Step Functions, and EventBridgeAmazon S3, Redshift, and AuroraDatabase design, data modeling, and normalization techniquesComplex SQL query development and optimizationPython programming for data engineering, ETL development, and automationBuilding and maintaining scalable data pipelines on AWSData warehousing concepts and performance tuningAWS CloudWatch for monitoring and alertingAmazon DynamoDB and Amazon Kinesis for data streaming and storageWhy 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.
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📌 Data Engineer (Jalisco)
🏢 Brillio
📍 Jalisco