GE Proficy Engineer/Sr Python Developer Nearshore or offshore - 1 resource
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.

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📌 Senior GE Proficy Engineer & Python Developer — Historian/Cloud (México)
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