GE Proficy Engineer/Sr Python Developer

Sequoia Connect

24d • Hybrid

About The Position

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:

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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed