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Required Skills
Python
SQL
Machine Learning
The Asset Performance Management (APM) Lead will be responsible for design, lead and execute Asset Performance Management (APM) solutions implementation for the Refining, Oil and Gas, Chemical, Power and Mining Industries
7-10 years’ experience in designing and implementing APM solutions for refining, petrochemical, mining, power, or other chemical industries
Excellent understanding and knowledge of the unit operations and processes utilized in the chemical process industries.
Able to build equipment/process performance models using thermodynamic and 1st principles.
Good understanding of the industry standards followed in APM space.
Experience in operations, maintenance & diagnosis of failures for key operating equipment’s
like Pumps, Compressors, Turbines, Heat Exchangers, Furnaces and similar rotary/static equipment.
Understanding and implementation knowledge of APM modules like Reliability Centered
Maintenance (RCM), Failure mode and effects analysis (FMEA), Root Cause Analysis (RCA) etc.,
Working experience of R, Python or other Machine Learning tools.
Experience in writing SQL queries and stored procedures
Working experience of integration with other systems using OPC, OLEDB, ODBC and web services.
Experience in implementing APM using Aspen M-Tell, GE Smart Signal, AVEVA APM, Expert
Microsystems Sure Sense or similar APM solutions.
Understanding various Analytic software like Sure Sense, custom analytic in Python, etc.
Type of algorithm use for analyzing data & suggest best possible match/result.
Review history data and suggest when exactly fault has occurred.
Comfortable to develop analytic algorithms for customized prediction model.
Interfacing Analytic model with Honeywell or third-party applications for data visualization.
Lead/Support the technical delivery of the project right from design to closure.
Create/Support Design documents- FDS, DDS, test procedures and training manuals.
Lead customer meetings including KOM, design workshops, training, and testing.
Track and manage progress as per schedule. Report progress to all stakeholders on regular basis.
Design and build performance and analytical models for new equipment types.
Design and build models for process scenarios.
Manage customer expectations and ensure delivery within budget and timelines.
Plan the engineering activities and ensure progress as per plan.
Address customer issues on time by escalating to the right internal stakeholders
Follow the Company defined standard practices and methods.
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Senior Offering Management Specialist
0 reports
$152,500
total / year
Base
-
Stock
-
Bonus
-
$129,625
$175,375
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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