Senior Cloud Data Engineer - Big Data & Real-Time Pipelines
Summary
Designs and maintains scalable data pipelines and analytics infrastructure using AWS, Hadoop, and Spark to process batch and real-time data for business insights.
Jefferson Frank is seeking a Data Engineer to build scalable data pipelines and support analytics infrastructure. The role focuses on batch and real-time data processing, leveraging AWS, Hadoop, and Spark to deliver reliable data insights.
You will work in an agile environment, translating requirements into robust architectures and leading data-centric projects across multiple domains. Strong programming and data modeling skills are essential.