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Posted: Sunday, January 21, 2018 8:22 AM

Reliability Engineer
Reference Code: 47121

United States (US) : Charleston, WV or Houston, TX
Job Category: Engineering
Employment Type: Employee Full:time
Relocation Eligibility: This position is eligible for our domestic relocation program

General Information
The Enterprise Analytics Team in Core Reliability is looking for a candidate with a strong interest in data analytics and who will support reliability improvements of TransCanadas USGO assets by using cutting:edge, real:time condition monitoring technologies and life data analysis tools. The ideal candidate should be knowledgeable in statistical analysis of time series data and reliability life data analysis methodology. They must have excellent communications skills and be comfortable working with a wide range of stakeholders, functional teams and technologies. The right candidate will have a passion for discovering solutions hidden in large data sets and working with subject matter experts to improve asset reliability.

*This position is eligible to be filled within Houston, TX or Charleston, WV.

:Anomaly Detection;
:Track anomalies using the Reliability Analysis Platform (RAP);
:Perform real time data analysis including data quality assessment, correlation and statistical analysis;
:Construct, test and maintain statistical models for anomaly detection;
:Use data visualization tools to communicate analysis results in a clear manner;
:Engage in the investigative process by supporting any information requests and providing data updates throughout the investigation cycle;
:Document the investigative process, ensuring that optimal amount of information is captured around the identified issues and actions taken to mitigate the failure;

Data Quality:
:Identify real time data quality issues (such as stale or flat:lined data pattern) using RAP;
:Troubleshoot apparent data issues and identify the root cause using OSIsoft tools such as PI Historian;
:Work with technical consultants and Automation and Control (A and C) personnel to fix the root cause of the issues, following existing processes;
:Manage and document the investigative process findings;

Asset Framework New Equipment:
:Construct digital assets using OSIsofts Asset Framework (Digital Transformation);
:Work with subject matter experts to understand the structure and characteristics of new assets, including where the sensors are located and what they measure;
:Complete the asset digital transformation by mapping real time data tags to the digital asset;
:Train statistical models for anomaly detection using RAP;

Life Data Analysis and Risk Assessments:
:Gather, cleanse and enhance failure and maintenance data;
:Analyze failure and maintenance data using tools such as Weibull and Crow:AMSAA;
:Perform facility risk assessments based on reliability life data models;
:Perform ad:hoc reliability studies, including repetitive failures and what:if analysis;
:Recommend improvements in failure and maintenance data acquisition processes;
:Work with subject matter experts and research real:time anomaly detection algorithms to prevent repetitive failures;
:Other tasks as required.

Qualifications and Education
Excellent troubleshooting, problem solving, and data analysis skills required;
Working knowledge of natural gas pipeline systems;
Working knowledge of SCADA systems preferred;
Working knowledge of PI systems strongly preferred;
Ability to recognize, recommend and implement new technology;
Demonstrate excellent written, organizational, listening, and oral communication skills;
Experience working with Sr. Leadership and management level customers;
Analytical : Synthesizes complex or diverse information; collects and researches data; uses intuition and experience to complement data; designs work flows and procedures;
Design : Generates creative solutions; translates


• Location: Charleston

• Post ID: 10723812 charlestonwv is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2018