About the role

AI summarised

The Data Engineer designs and implements data workflows to support Smart Factory operations, focusing on extracting, transforming, and analyzing data for yield reporting and business decision-making. They act as a liaison between business, IT, and vendors to enhance Yield Management Systems and develop predictive AI models for proactive process improvements. The role requires a blend of technical data skills and domain knowledge in semiconductor manufacturing to ensure data integrity and drive actionable insights.

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 to support operational and business decision making
Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System
Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s)
Design, build and maintain Predictive AI Models to enable proactive decision-making

Requirements

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