GE Proficy Engineer/Sr Python Developer

GE Proficy Engineer/Sr Python Developer Nearshore or offshore - 1 resourceKey ResponsibilitiesProficy 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 tagso Calculated tagso Writeback tagsPython-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 APIso Historian SDKso OPC interfacesProvide reusable Python utilities or starter templates for data consumption. • Assist application teams with:o Tag discovery and mappingo Performance tuning and query optimizationo Data quality and gap analysis• Monitoring, Troubleshooting & Support:Monitor historian health, data latency, and calculation pipelines. • Troubleshoot:o Missing or stale tagso Calculation errorso API and connectivity issuesAnalyze logs and metrics to identify root causes. • Documentation & Collaboration:• Create and maintain:o Calculation logic documentationo Tag mapping and conversion specso Integration guides for downstream teamsSupport knowledge transfer to onshore and application teams. Advanced englishremoteOriginally posted on Himalayas

GE Proficy Engineer/Sr Python Developer Nearshore or offshore - 1 resourceKey ResponsibilitiesProficy 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 tagso Calculated tagso Writeback tagsPython-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 APIso Historian SDKso OPC interfacesProvide reusable Python utilities or starter templates for data consumption. • Assist application teams with:o Tag discovery and mappingo Performance tuning and query optimizationo Data quality and gap analysis• Monitoring, Troubleshooting & Support:Monitor historian health, data latency, and calculation pipelines. • Troubleshoot:o Missing or stale tagso Calculation errorso API and connectivity issuesAnalyze logs and metrics to identify root causes. • Documentation & Collaboration:• Create and maintain:o Calculation logic documentationo Tag mapping and conversion specso Integration guides for downstream teamsSupport knowledge transfer to onshore and application teams. Advanced englishremoteOriginally posted on Himalayas