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Quest Global

Engineering services, digital transformation, asset management

Data & AI Engineer - Cost Management Project

Data EngineeringUpdated on Nov 8
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong experience in data engineering and AI engineering.
  • Proficiency in Microsoft Fabric, Python (including Python notebooks), SQL, and PySpark.
  • Demonstrated expertise in data ingestion, transformation, and data modeling.
  • Experience with APIs and MCP-based integrations.
  • Familiarity with large language model and artificial intelligence integration and prompt engineering.

Responsibilities

  • Develop and maintain a comprehensive cost data infrastructure that supports analytics and artificial intelligence initiatives.
  • Implement data ingestion, transformation, and modeling processes to ensure high-quality data availability.
  • Collaborate with cross-functional teams to integrate APIs and MCP-based solutions.
  • Design and deploy conversational artificial intelligence applications that leverage cost data for natural-language interactions.
  • Conduct descriptive and diagnostic analytics to identify trends and key drivers in cost data.
  • Utilize forecasting techniques to predict future cost developments based on historical data.
  • Engage in large language model and artificial intelligence integration and prompt engineering to enhance data interaction capabilities.

Desired Qualifications

  • Knowledge of analytics, data quality, and building reliable data foundations for artificial intelligence use cases is highly beneficial.

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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