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: o Raw tags o Calculated tags o Writeback tags • Python-Based Calculation & Tag Conversion:
Develop and maintain Python scripts/services to: o Perform calculations on raw historian data. o Convert raw tags into calculated tags. o Normalize units, formats, and naming conventions. o 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: o Proficy REST APIs o Historian SDKs o OPC interfaces • Provide reusable Python utilities or starter templates for data consumption.
Assist application teams with: o Tag discovery and mapping o Performance tuning and query optimization o Data quality and gap analysis • Monitoring, Troubleshooting & Support:
Monitor historian health, data latency, and calculation pipelines.
Troubleshoot: o Missing or stale tags o Calculation errors o API and connectivity issues • Analyze logs and metrics to identify root causes.
Documentation & Collaboration:
Create and maintain: o Calculation logic documentation o Tag mapping and conversion specs o Integration guides for downstream teams • Support knowledge transfer to onshore and application teams. Advanced english remote
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