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Qualcomm

Data & Application Engineer – SPC & SPACE Solutions

Qualcomm
Fabless SemiconductorSingapore, Central Singapore, SingaporeOnsitePosted 1 month ago
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About the role

AI summarised

As a Data & Application Engineer focused on SPC and SPACE solutions, you will collaborate with Product Owners and stakeholders to design and implement data-driven applications that support strategic IT initiatives. You will serve as a technical advisor, translating business needs into functional system enhancements within the SPC and SPACE ecosystem. This role blends application development with data analysis to improve operational efficiency and system performance.

FablessOnsiteSystems Analysis

Key Responsibilities

  • Play a key role in the strategic and operational development of the SPC and SPACE system landscape
  • Act as a technical sparring partner for Product Owners, Champions, and stakeholders
  • Implement innovative data and application solutions
  • Collaborate with stakeholders to gather and analyze requirements for SPC and SPACE systems
  • Develop and maintain data models and application interfaces within the SPC/SPACE environment
  • Support the integration of data flows between SPC, SPACE, and adjacent enterprise systems
  • Ensure data quality, consistency, and accessibility for manufacturing and quality analytics
  • Participate in system testing, validation, and user acceptance testing for new releases
  • Stay current with emerging data engineering and application technologies relevant to SPC/SPACE

Requirements

  • 3+ years of IT-relevant work experience with a Bachelor's degree
  • OR 5+ years of IT-relevant work experience without a Bachelor’s degree
  • Experience with SPC (Statistical Process Control) systems
  • Experience with SPACE (or similar manufacturing execution) platforms
  • Proficiency in data modeling, ETL processes, and database technologies (SQL/NoSQL)
  • Application development skills using modern frameworks (e.g., .NET, Java, Python)
  • Ability to translate business requirements into technical specifications
  • Strong analytical and problem-solving skills
  • Experience working in manufacturing, semiconductor, or industrial environments
  • Excellent communication and stakeholder management abilities
  • Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau)
  • Understanding of quality management systems and process analytics
  • Ability to work independently and as part of cross-functional teams
  • Willingness to learn and adapt to evolving SPC and SPACE technologies