Qualcomm

Data Engineer

Qualcomm
Fabless SemiconductorSingapore, Central Singapore, SingaporeOnsitePosted 1 month ago

About the role

AI summarised

Design, develop, and deploy process automation workflows while extracting, transforming, and analyzing data into actionable reports to support operational and business decision-making within a Smart Factory environment.

FablessOnsiteHardware Engineering

Key Responsibilities

  • Design, develop, and deploy process automation workflows to support Smart Factory operation.
  • Extract, transform, and analyze data into accurate, meaningful, and actionable reports, including yield reports with visualizations.
  • Act as a bridge between business, IT, and vendors to support enhancements for Yield Management System (YMS) tools like Discover Yield and Tableau dashboards.
  • Combine statistics, machine learning, and computer science to generate actionable insights for complex process issues.
  • Design and build Predictive AI Models to enable proactive decision-making.

Requirements

  • Bachelor’s Degree in Computer Science or Electronic/Electrical Engineering.
  • Minimum 2 years of experience in the Data Analytics field.
  • Proficiency in SQL and experience with relational databases.
  • Strong working knowledge of statistics and its applications.
  • Experience in building automated reports.