Experience Range: 4 to 7 years of experience, including hands-on AWS data engineering and cloud-based data pipeline developmentKey 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:AWS 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 storagePreferred Skills:AWS analytics services such as Athena, EMR, and OpenSearchInfrastructure-as-code tools like CloudFormationAmazon SNS and SQS for messaging and event-driven architecturesAWS security tools such as MacieSpark (Scala) and big data processing frameworksDesired Qualifications:Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related disciplineAWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate certificationCertification in Python programming or data engineering (such as Python Institute PCAP or equivalent)#J-*****-Ljbffr

📌 Aws Data Engineering (Jalisco)
🏢 Brillio
📍 Jalisco