Senior AWS Data Engineer
Description
Design, develop, and optimize scalable cloud-based data pipelines and ETL solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Lambda, and Kinesis.
Develop data engineering solutions using Python, SQL, Spark, Kafka, Hadoop, and other big data technologies.
Build and manage data orchestration workflows using Apache Airflow, AWS Step Functions, and similar tools.
Implement data modeling, data quality, governance, metadata management, and integration solutions across relational and NoSQL databases.
Develop dashboards, reports, and analytical models while supporting higher education student-level data, workforce outcomes, and executive decision-making.