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 (Ecatepec de Morelos)
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📍 Ecatepec de Morelos