GE Proficy Engineer/Sr Python Developer

Description

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights.

We are currently searching for a GE Proficy Engineer/Sr Python Developer:

Responsibilities:

• Configure and support GE Proficy Historian within AWS cloud environments.
• Set up and manage collectors, including Sparkplug B and calculation collectors, for efficient data gathering.
• Create and maintain historian tags, specifically handling raw, calculated, and writeback tags.
• Develop Python scripts and services to perform complex calculations on raw data and normalize units/formats.
• Integrate downstream applications by enabling data consumption via Proficy REST APIs, SDKs, and OPC interfaces.
• Provide technical support and utilities to application teams for tag discovery, mapping, and query optimization.
• Monitor system health and pipelines, troubleshooting data latency, calculation errors, and API connectivity issues.
• Document calculation logic and tag conversion specifications to facilitate knowledge transfer.

Requirements:

• Proven experience with GE Proficy Historian configuration and implementation.
• Senior-level Python development skills, specifically for data processing and automated calculations.
• Strong knowledge of AWS cloud infrastructure as it relates to industrial data systems.
• Expertise in industrial protocols and interfaces like Sparkplug B, OPC, and REST APIs.
• Experience with Tag Management, including the conversion of raw data into actionable engineering logic.
• Proficiency in troubleshooting complex data pipelines and performing root cause analysis via logs and metrics.

Desired:

• Experience with unit normalization and naming convention standardization in large-scale industrial environments.
• Ability to build reusable Python utilities or templates for data consumption teams.
• Familiarity with Engineering logic validation against source systems.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• On-site | Hybrid | Fully remote | Temporarily remote due to COVID-19 | Work-from-home flexibility. <-- Select only one

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Requirements

Requirements:

• Proven experience with GE Proficy Historian configuration and implementation.
• Senior-level Python development skills, specifically for data processing and automated calculations.
• Strong knowledge of AWS cloud infrastructure as it relates to industrial data systems.
• Expertise in industrial protocols and interfaces like Sparkplug B, OPC, and REST APIs.
• Experience with Tag Management, including the conversion of raw data into actionable engineering logic.
• Proficiency in troubleshooting complex data pipelines and performing root cause analysis via logs and metrics.