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. **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. + Proficiency in Machine Learning, Web Applications, Java, and TypeScript. 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.