Engineering Operations and Analytics Engineer

Google

Posted about 6 hours ago

About this role

Full Time Mid-level Engineering Operations and Analytics Engineer in AI at Google in New Taipei, Banqiao District, New Taipei City, Taiwan. Apply directly through the link below.

At a glance

Work mode: Office
Employment: Full Time
Location: New Taipei, Banqiao District, New Taipei City, Taiwan
Experience: Mid-level · 5+ years
Education: Master's degree or equivalent

Core stack

Machine Learning
Cross-functional
Computer Science
Data Analysis
Google Cloud
Data Science
Performance
Efficiency
Power BI
Tableau
Python
Looker
GCP
ETL
ML
AI

Quick answers

What are the qualifications?
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
What skills are required?
Machine Learning, Cross-functional, Computer Science, Data Analysis, Google Cloud, Data Science, Performance, Efficiency, Power BI, Tableau, and more.

Google is hiring for this role. Visit career page

New Taipei City, Taiwan

Minimum qualifications:

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
5 years of experience in program management.
5 years of experience in scripting languages, specifically Python, for data manipulation, statistical analysis, and task automation, including building and maintaining automated data pipelines (ETL/ELT) to ensure data quality and availability.
Experience in overseeing the delivery of data-driven or technical initiatives.

Preferred qualifications:

Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
5 years of experience in semiconductor manufacturing and testing.
Experience in manufacturing, quality, reliability, or product engineering related industries.
Experience in advanced data visualization tools like Tableau, Power BI, or Looker, with a focus on creating actionable insights and executive-level dashboards.
Experience overseeing the AI/ML lifecycle, including the deployment of machine learning models into production and the continuous monitoring of their performance to ensure long-term reliability.
Familiarity with cloud platforms (e.g., Google Cloud Platform (GCP)) and their native data warehousing solutions.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Responsibilities

Develop and implement data-driven solutions to improve custom silicon assembly and test manufacturing efficiency, yield, and product quality.
Utilize statistical analysis and machine learning techniques to analyze large datasets of semiconductor production data, identify trends, and predict potential issues.
Create automated data pipelines and dashboards to monitor Key Performance Indicators (KPIs) and provide real-time insights to stakeholders.
Collaborate with cross-functional teams to gather data requirements, develop data analysis strategies, and communicate findings effectively.