GE Proficy Python Developer_ Remote

Job Title: GE Proficy Python Developer
Experience: 12 Years

Job Type: Contract

Duration: 12 months with possible extension

Key Responsibilities

• Proficy Historian Configuration & Implementation:
• Configure and support GE Proficy Historian in AWS cloud.
• Set up collectors like Sparkplug 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.