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 (Heroica Puebla de Zaragoza)
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