Sales Engineer, Data Analytics, Google Cloud (English)
Google
Buenos Aires, Argentina
hace 4 días

When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative.

You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

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 a Sales Engineer, you will help businesses of all sizes use technology to connect with customers, employees and partners.

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

  • Support local teams in pursuit of business opportunities, engaging customers to address aspects of the data lifecycle.
  • Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
  • Manage technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
  • Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and RFI response documents.
  • Minimum qualifications :

  • Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
  • Experience with traditional Analytic Warehouse solutions and Big Data technologies.
  • Experience in implementing analytics systems architecture including elements and all aspects of cloud computing.
  • Ability to speak and write English fluently and idiomatically.
  • Preferred qualifications :

  • Extensive technical sales experience or professional consulting experience in the fields of cloud computing, data, information lifecycle management and Big Data.
  • Experience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go.
  • Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions (e.
  • g., Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.

  • Understanding of DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.
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