Cloud Data Engineer, Global Services Delivery Specialist

hace 4 días


Xico, México Google A tiempo completo

About the Role

The Google Cloud team is seeking a skilled Cloud Data Engineer to help companies, schools, and government organizations seamlessly transition to Google products and provide ongoing support. As a Cloud Data Engineer, you will work closely with customers to design and implement large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.

Key Responsibilities

  • Act as a trusted technical advisor to customers and solve complex Big Data issues.
  • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  • Contribute to the implementation of large data systems on Google Cloud.
  • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
  • Travel up to 30% of the time as needed.

About Google Cloud

Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions, and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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.

What We're Looking For

  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred Qualifications

  • Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, and reporting/analytic tools and environments.
  • Experience working with Big Data, information retrieval, data mining, or machine learning.
  • Experience in technical consulting.

Equal Employment Opportunity

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.



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