AWS Data Engineer (12+ yrs) - Full Time

OverviewWe are looking for a Data Engineer to design, build, and optimize scalable data platforms on AWS.The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics.Role and LocationRole: AWS Data EngineerLocation: Plano, TX (Onsite from Day 1)Job Type: Full TimeExperience Required: 12+ yearsSkillsData science, MuleSoft, Kafka connect, SQL, Data visualizationResponsibilitiesDesign, develop, and maintain scalable data pipelines using AWS servicesBuild and manage cloud-based data lakes on Amazon S3Implement and optimize Snowflake data models for reporting and analyticsDevelop real-time streaming solutions using Apache KafkaIntegrate enterprise systems using MuleSoft APIs and connectorsDeploy and manage containerized data workloads on AWS EKSWrite and optimize complex queries using Amazon AthenaMandatory SkillsAWS Cloud Services (S3, Athena, EKS, IAM, monitoring)Snowflake (data modeling, performance tuning, reporting)Apache Kafka (streaming, producers/consumers, real-time pipelines)MuleSoft (API-based integrations, enterprise data flows)Amazon EKS (container orchestration, deployment)Querying Tools: Amazon AthenaData Lakes: S3-based data lake architectureReporting: Snowflake reporting layerAnalytics & Visualization: TableauJ-18808-Ljbffr