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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:
oRaw tags
oCalculated tags
oWriteback tags
•Python-Based Calculation & Tag Conversion:
•Develop and maintain Python scripts/services to:
oPerform calculations on raw historian data.
oConvert raw tags into calculated tags.
oNormalize units, formats, and naming conventions.
oImplement 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:
oProficy REST APIs
oHistorian SDKs
oOPC interfaces
•Provide reusable Python utilities or starter templates for data consumption.
•Assist application teams with:
oTag discovery and mapping
oPerformance tuning and query optimization
oData quality and gap analysis
•Monitoring, Troubleshooting & Support:
•Monitor historian health, data latency, and calculation pipelines.
•Troubleshoot:
oMissing or stale tags
oCalculation errors
oAPI and connectivity issues
•Analyze logs and metrics to identify root causes.
•Documentation & Collaboration:
•Create and maintain:
oCalculation logic documentation
oTag mapping and conversion specs
oIntegration guides for downstream teams
•Support knowledge transfer to onshore and application teams.
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