Senior Data Engineer - Test & Analytics for Semiconductors

Qualcomm; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Qualcomm is seeking a Senior Data Engineer to design and deliver end-to-end data solutions for semiconductor test engineering analytics. You will build scalable ETL/ELT pipelines, apply business logic for binning and yield analysis, and prototype data solutions for rapid analytics in a high-volume data environment.

You will collaborate with Test Engineering, Product Engineering, Yield, and NPI teams, partnering with IT to productionize pipelines and ensure governance, observability, and data

Qualifications

• Bachelor's degree or higher in CS/Engineering or related field.
• 5–10 years of Data Engineering / ETL Development experience.
• Experience designing end-to-end data solutions and cloud data platforms (AWS).

Responsibilities

• Design and implement end-to-end ETL/ELT pipelines for large-scale test data.
• Develop data transformations aligned with test engineering workflows.
• Prototype data solutions to support analytics and yield improvements.
• Productionize pipelines with governance, monitoring, and reliability.

Skills

Python

SQL

ETL

Pandas

Education

Bachelor's degree in Computer Science / Engineering or related field

Master's degree in related field (optional)

Tools

Databricks

Snowflake

Spark

Job description

Qualcomm is seeking a Senior Data Engineer to design and deliver end-to-end data solutions for semiconductor test engineering analytics. You will build scalable ETL/ELT pipelines, apply business logic for binning and yield analysis, and prototype data solutions for rapid analytics in a high-volume data environment.

You will collaborate with Test Engineering, Product Engineering, Yield, and NPI teams, partnering with IT to productionize pipelines and ensure governance, observability, and data