Top 3 must have's: Veeva Vault Quality, Boomi, Python, Batch Release Hub
Job description:
- Ability to architect integration between Veeva Vault Quality and Batch Release Hub using Python to connect with Veeva Quality through API
- Transform the data from Veeva Vault Quality and integrate with Batch Release Hub via Boomi Integration
- Analyze and optimize product performance to enhance user experience and satisfaction
- Develop and maintain comprehensive documentation for product architecture and design processes
- Provide technical guidance and support to development teams throughout the product lifecycle
- Optimize and manage Data Lake and storage solutions (e.g., using Delta Lake on Databricks) to ensure data quality, governance, and high-performance, reliable input for advanced analytics and AI model development.
- Maintain mandatory proven expertise in Databricks, Data Lake architecture to move Veeva Quality object data into Databricks
Integration Architect in phillips at Unknown Company
This position is listed as full time and onsite.