GE Proficy Engineer/Sr Python Developer

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