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.
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