GE Proficy工程师/Sr Python开发工程师

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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Originally posted on Himalayas