Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience.
  
• 5 years of experience in application development.
  
• 3 years of experience with data management, data governance, data architecture, data analysis, data profiling, data quality, and system integration.
  

Preferred qualifications:

• Experience in full-stack enterprise application development.
  
• Experience in hardware quality and reliability domains.
  
• Experience in Machine learning and advanced analytics.
• Experience with programming in SQL, Machine Learning, ETL, server side application development, and client side UI scripting.
  

Summary

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience.
  
• 5 years of experience in application development.
  
• 3 years of experience with data management, data governance, data architecture, data analysis, data profiling, data quality, and system integration.
  

Description

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.The US base salary range for this full-time position is $111,000-$163,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop analytics applications to deliver insights to improve Google's data center quality.
• Lead the development of a custom analytics application, including the UI, Application Programming Interface (APIs), server side code, and web-based visualizations.
• Lead strategy and execution across data acquisition, data quality, Extract, Transform, Load (ETL), and data preparation.
• Design and implement advanced analytics and machine learning models.
• Engage stakeholders to gain an understanding of root business needs and to ensure these needs are met as efficiently and timely as possible.