Data Engineer, Senior

Our client operates in the Telecoms Equipment Semiconductors Industry, with its headquarters rooted strongly in the United States. It has branches spread to more than 30 countries, providing employment to more than 45,000 people all over the world. They fall in the Fortune 500 Companies. Their core business is designing and manufacturing semiconductors. They believe in driving digital transformation.

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, such as yield reports with data visualizations and recommendations.
• Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.
• With Product and Process knowledge, ensure data integrity for YMS tools.
• 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, with min. 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.