Cloud Data Engineer, Professional Services
Google
Buenos Aires, Argentina
hace 6 días

The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure.

As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Cloud Data Engineer, you'll guide customers on how to ingest, store, process, analyze, and explore / visualize data on the Google Cloud Platform.

You will work on data migrations and transformational projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges.

In this role, you will be working with Google's most strategic Cloud customers, and with the team, you will support customer implementation of Google Cloud products.

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future.

Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Responsibilities

  • Act as a trusted technical advisor to customers, and solve Big Data issues.
  • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of business and technical stakeholders.
  • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
  • Travel up to 30% of the time, as necessary.
  • Minimum qualifications :

  • Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
  • 4 years of experience designing, building, and deploying scalable cloud-based solution architectures.
  • Experience in writing software in one or more languages, such as Python, Go, JavaScript, Java, C++ or similar.
  • Experience implementing data services, including storage, integration, and APIs.
  • Preferred qualifications :

  • Experience working data warehouses, including data warehouse technical architectures, infrastructure components, reporting / analytic tools and environments, and data structures.
  • Experience in technical consulting.
  • Experience working with Big Data, information retrieval, data mining, or machine learning, as well as building multi-tier high availability applications with modern web technologies, such as NoSQL, MongoDB, SparkML, and TensorFlow.
  • Experience architecting, developing software, or internet scale Big Data solutions in virtualized environments.
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