- 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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior