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Quest Global

Engineering services, digital transformation, asset management

Asset Information Management Lead

Data ManagementConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Previous work experience as an AutoCAD drafter with 3D modeling and P&ID drafting experience.
  • Knowledge of document management and information management systems for assets and projects.
  • Knowledge of Microsoft Office and electronic document management systems.
  • Knowledge of SQL, SAP, WRENCH, and Primavera is advantageous.
  • Knowledge of AVEVA AIM, Aconex, and SharePoint.
  • Experience working with AutoCAD, Plant 3D, and SolidWorks.
  • 10+ years of experience in oil and gas engineering projects, with a minimum of 6–8 years of document control experience.
  • Experience with engineering business processes and risks and opportunities across the engineering lifecycle.
  • Familiarity with information management data and document management workflows in projects and operations.
  • Understanding of industry standards and practices.
  • Knowledge of Aconex, EDT, and AVEVA AIM load processes and tools, including Gateways.
  • At least 4–5 years of experience with data control and asset Engineering Data Warehouses.
  • Experience in data analytics.
  • Understanding of database and data structures and methodologies.
  • Experience with information management tools supporting extract, transform, and load processes, such as SQL, C++, and APIs.
  • Proficiency in metrics reporting using tools such as Power BI.
  • Familiarity with cross-discipline engineering data terminology and requirements.
  • Ability to plan, implement, test, document, and troubleshoot system integrations or upgrades.
  • Design experience in P&ID and isometric drafting and 3D plant modeling using Plant 3D and PDMS.

Responsibilities

  • Understand Engineering Data Warehouses and plant breakdown structures, including how they are used to configure an Engineering Data Warehouse.
  • Maintain reference data libraries for engineering data and documentation.
  • Understand engineering standards, including Equipment Class Library, Document Class Library, and CFIHOS.
  • Understand the setup of AVEVA AIM and AVEVA ISM in digital twin systems, including EDMS-to-AVEVA connections and configuring reporting tools with AVEVA AIM.
  • Understand how information is ingested into and extracted from AVEVA or other Engineering Data Warehouse tools.
  • Ensure extract, transform, and load jobs run as scheduled.
  • Maintain an issues log and compile delta reports on extract, transform, and load gaps and discrepancies for EPCs, information management leads, discipline leads, and business leads.
  • Run AVEVA extracts for additional key performance indicator and reporting requirements not addressed in AVEVA AIM.
  • Prepare data extracts from EPCs, EDTs, and other systems to support and automate consistent loading into other tools or applications, such as SAP and HSC.
  • Oversee the handover of the latest drawings and compare them with datasets delivered by projects and management of change systems.
  • Recommend solutions for integrating AVEVA AIM with other project, operations, or maintenance software and systems.
  • Provide Tier 1 support and troubleshooting for AVEVA AIM, including Power BI reporting, and escalate issues to the IT team or AVEVA AIM product owners or consultants as needed.
  • Maintain, prioritize, and respond to user feedback, change requests, and enhancements.
  • Provide feedback on usability, features, and performance to different business processes within the company.
  • Propose improvements to the AIM steering committee to improve navigation, searching, and access to asset information.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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