1 week ago
Design, develop and support new and current processes employing industry standards and best practices to enhance loading of data from and into different source/target systems.
Production automation with built in failover strategies and data consistency and correctness.
Provide support to the organization’s business requirements in the application and consumption of information from the Enterprise Data Warehouse or from other suitable source systems.
Review, analyze, modify and create ETLs, utilizing Azure Data Factory, testing, debugging, integration and implementation processes.
Document technical needs for ETL processes and databases and ensure optimal technical infrastructure is utilized.
Deliver data integration projects and leverage best practices expertise and experience.
Provide thought leadership on data and system architecture, system administration, schedule management, performance tuning, and expansion.