GE Proficy EngineerSr Python Developer
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Job Location:
Mexico City - Mexico
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
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 163000 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
If you meet these qualifications and are pursuing new challenges Start your application to join an award-winning employer. Explore all our job openings Sequoia Careers Page: Requirements: Requirements:
GE Proficy Historian Python Developer AWS Sparkplug B OPC REST API Tag Management Industrial IoT Data Normalization Calculation Collector SDK SCADA Data Pipeline.
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
