The Job

Data Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis

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In short

Qualcomm is seeking a Data Engineer in Hsinchu City, Taiwan to design, develop, and maintain engineering analytics solutions and ETL/ELT pipelines for semiconductor test data. The role involves translating business needs into scalable data architectures and partnering with IT for productionizing pipelines, focusing on performance optimization.

Responsibilities

  • Design, develop, maintain, and support engineering analytics solutions, dashboards, and digital platforms.
  • Design and implement end‑to‑end ETL/ELT pipelines for large‑scale semiconductor test data (wafer sort, final test, and parametric datasets).
  • Develop business logic and data transformations aligned with test engineering workflows, including binning (hard/soft bin), yield analysis, and parametric trend evaluation.
  • Rapidly prototype data solutions to support evolving analytics, yield improvement initiatives, and test program optimization use cases.
  • Translate business needs into scalable and maintainable data architectures that support high‑volume, high‑velocity test data ingestion and processing.
  • Partner with IT to productionize pipelines, ensuring reliability, monitoring, observability, and governance for mission‑critical test data systems.
  • Improve existing pipelines by applying cloud ETL best practices, focusing on performance optimization for large STDF/ATE data and distributed processing.
  • Drive End-to-end project execution from initiation through deployment and post-implementation support.
  • Develop and maintain project plans, schedules, status reports, and executive dashboards.
  • Identify opportunities to improve workflows, productivity, and operational efficiency.

Requirements

  • 2-4 years in Data Analytics / Platform Engineering.
  • Hands‑on Expertise in Python (PySpark, Pandas, ETL frameworks).
  • Hands‑on Expertise in SQL (data modeling, performance tuning).

Desired Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2-4 years of Data Engineering, ETL Development experience, or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ years of Data Engineering, ETL Development experience, or related work experience.
  • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
#Data Engineering#ETL#Semiconductor#Analytics
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Company

Qualcomm

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hsinchu City, Taiwan

Qualification

Bachelor, Master

Applicants

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