GE Proficy Engineer/Sr Python Developer
Summary
Configure GE Proficy Historian in AWS, build Python scripts for data processing, and maintain historian tags and APIs for downstream teams.
Responsibilities
- Configure and support GE Proficy Historian in AWS cloud
- Set up SparklugB and calculation collectors
- Create, manage, and maintain raw, calculated, and writeback historian tags
- Develop Python scripts for data calculations, tag conversion, and normalization
- Implement scheduled and event-driven calculations
- Support downstream application teams via Proficy REST APIs, SDKs, and OPC interfaces
- Monitor historian health, data latency, and calculation pipelines
- Troubleshoot missing tags, calculation errors, and connectivity issues
- Maintain documentation for calculation logic, tag mapping, and integration guides
Requirements
- Proficiency in GE Proficy Historian configuration and implementation
- Strong Python development skills for data processing and automation
- Experience with AWS cloud environments
- Knowledge of SparklugB collectors and historian SDKs
- Understanding of REST APIs and OPC interfaces
- Advanced English proficiency