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Honeywell

Advanced Project Engr - APM

Posted 2 Days Ago
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In-Office
Pune, Mahārāshtra
Expert/Leader
In-Office
Pune, Mahārāshtra
Expert/Leader
Leads the design, implementation, and delivery of Asset Performance Management solutions for industrial process industries. Responsibilities include developing equipment and process performance models, creating technical documentation, managing customer workshops and testing, tracking project progress, resolving issues, and supporting post-go-live value capture. Requires extensive APM experience, industrial equipment and process knowledge, predictive analytics, machine learning, SQL, system integration, and familiarity with leading APM platforms.
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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

Responsibilities

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
Qualifications
  • 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. 
About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

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