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Advanced Project Engr

Honeywell · Pune, Maharashtra, India

Oil & GasImported listingfull-time1 day ago

About The Role

Honeywell Connected Industrial (HCI) Line of business is a leading provider of software offerings in the Process Industry which includes Oil and Gas, Refining, Petrochemicals, Paper, MMM industry. These offerings drive measurable business results for customers. The business is focused on outcome-based software solutions and engineering services, converting data into actions for the customer which enables greater reliability, safety and uptime & profitability. These solutions uniquely combine domain expertise and industry proven technology.

Global Engineering Services (GES)

Global Engineering Services is the key largescale engineering, productivity, new growth initiative and process standardization enabler for HPS and outside HPS. With the largest skilled engineering pool available to PAS, LSS, HCP and Cyber and ready to expand to other GBEs, GES helps win GMPs and executes them, does design, engineer and execute all the other PAS, LSS, HCI and Cyber projects based out of major engineering centers at India, China, Bucharest and Uzbekistan, helps all the LOBs to carry out engineering and process standardization to improve the engineering quality and productivity and also supports all the LOBs in supporting migrations and long-term service contracts.

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

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

  • 10-12 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.

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