Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
• Experience with data processing software (Hadoop, Spark, Pig, Hive) and algorithms (MapReduce, Flume).
• Experience writing software in one or more languages: Java, C++, Python, Go, JavaScript.
• Experience managing client-facing projects, troubleshooting clients' technical issues, working with engineering, sales, services, and customers.

Preferred qualifications:

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

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You swiftly problem-solve technical issues for customers to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Google Cloud business and in bringing our product portfolio into companies around the world.

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 large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges.

In this role you are the Google Engineer working with Google's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more.

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 see the benefits of our technology come to life.

Responsibilities

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