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:

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.

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📌 GE Proficy Engineer/Sr Python Developer (Heroica Puebla de Zaragoza)
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📍 Heroica Puebla de Zaragoza