GE Proficy Engineer/Sr Python Developer Nearshore or offshore - 1 resourceKey Responsibilities Proficy Historian Configuration & Implementation: Configure and support GE Proficy Historian in AWS cloud.
Set up collectors like Sparklug B 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 (Tijuana)
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