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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