Customer Engineer III, Data and AI, Google Cloud

  • Full Time
  • Gauteng
  • Applications have closed

Website Google

When our millions of advertisers and publishers are happy, so are we! Our team of entrepreneurial, enthusiastic and client-focused team members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are … read morededicated to growing the unique needs of small- and medium-sized businesses. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. Together, we create and implement business plans broadly for every type of small business. Large Customer Sales: Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build strong businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences. Google Cloud: Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business – all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And 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. Mountain View, California, United States

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience with “Big Data” technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

Preferred qualifications:

Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.
Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior.

Apply via company website ( www.google.com ) or

www.google.com

 

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