Cloud Data Engineer (English, Spanish)

Google · Mexico City, CDMX, Mexico

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • Experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience troubleshooting technical issues for internal/external partners or customers.
  • Ability to communicate in English and Spanish fluently to engage with clients in the region.

Preferred qualifications:

  • Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
  • Experience in big data, information retrieval, data mining, or machine learning.
  • Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB and SparkML.
  • Experience architecting, developing software, or internet scale production-grade big data solutions in virtualized environments.
  • Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc.
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