Job Description
Job duties/accountabilities
Key Responsibilities
- Proficy Historian Configuration & Implementation:
- Configure and support GE Proficy Historian in AWS cloud.
- Set up collectors like SparklugB collector and calculation collectors.
Create, manage, and maintain historian tags, including:
Raw tags
- Calculated tags
Writeback tags
Python Based Calculation & Tag Conversion:
Develop and maintain Python scripts/services to:
Perform calculations on raw historian data.
- Convert raw tags into calculated tags.
- Normalize units, formats, and naming conventions.
- Implement scheduled and event driven calculations.
Validate calculated values against engineering logic and source systems.
Support versioning, testing, and logging for calculations.
Downstream Application Integration Support:
Enable and support downstream application teams to consume Proficy data using:
Proficy REST APIs
- Historian SDKs
OPC interfaces
Provide reusable Python utilities or starter templates for data consumption.
Assist application teams with:
Tag discovery and mapping
- Performance tuning and query optimization
Data quality and gap analysis
Monitoring, Troubleshooting & Support:
Monitor historian health, data latency, and calculation pipelines.
Troubleshoot:
Missing or stale tags
- Calculation errors
- API and connectivity issues
Analyze logs and metrics to identify root causes.
Documentation & Collaboration:
Create and maintain:
Calculation logic documentation
- Tag mapping and conversion specs
- Integration guides for downstream teams
- Support knowledge transfer to onshore and application teams.