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Hardware Quality and Operations Analytics Engineer, Data Centers

GoogleMexicoRemote eligible

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Note: Google’s hybrid workplace includes remote roles.

Remote location: Mexico.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 5 years of experience in Manufacturing Quality or Operations domains.
  • 3 years of experience in development and tuning of databases and SQL.
  • 3 years of experience in delivering analytics and data science applications.
  • Experience in web applications development.

Preferred qualifications:

  • Master's degree in Engineering or equivalent practical experience.
  • Proficieny in Machine Learning, Web Applications, Java, and TypeScript.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The Data Center Quality Analytics team delivers insights for improving hardware quality and operations in Google’s data centers. We deliver on-demand, custom insights through data engineering, advanced analytics, and custom application development.

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.

Responsibilities

  • Design and implement advanced analytics, AI/ML integrations, and data visualizations.
  • Own data engineering workstreams, including data acquisition, data pipelining, data quality, data preparation, and data warehousing.
  • Collaborate with team members in delivering custom web applications.
  • Engage with stakeholders and partner teams to gain a deep understanding of business needs, and to develop innovative solutions to test business problems.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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