Job Description

Key Responsibilities

• 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, trainings, 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 expectation 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
• Lead monitoring post Go-Live and work closely with customer on value capture

YOU MUST HAVE

• 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 SureSense or similar APM solutions.
• Understanding of various Analytic software like SureSense, 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 algorithm for customized prediction model.
• Interfacing Analytic model with Honeywell or third-party applications for data visualization.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.