Role : AWS Data Engineer
Location : Plano, TX (Onsite from Day 1)
Job Type : Full Time
Experience Required : 12+ years
Job Description :
- We 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.
Skills :
Data science, MuleSoft, Kafka connect, SQL, Data visualization
The opportunity :
Design, 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 skills :
AWS 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 : Tableau