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 Sparklug B 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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