Cloud Data Engineer, Professional Services, Google Cloud

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Minimum qualifications:

• Bachelor's degree in a technical or engineering field or equivalent practical experience.
• Experience with data processing software and data processing algorithms.
• Experience in writing software in one or more languages, and working with technical customers.
• Experience in Big Data within the cloud, including data analytics/warehousing, and with database design/querying.

Preferred qualifications:

• Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
• Experience with open source software (Cassandra, MongoDB, RabbitMQ) and enterprise Content Management or Business Applications (CRM, ERP).
• Experience in architecting, developing software, or internet scale production-grade big data solutions in virtualized environments.
• Ability to work, communicate effectively and influence stakeholders on internal/external engineering, product development, and sales operations teams and external partners and consumers.
• Excellent presentation and communication skills.
• Ability to speak and write in English and Spanish fluently.

About the job

The Google Cloud Platform team helps customers transform 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. 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. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and 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 data on the Google Cloud Platform. You will work on data migrations and transformational projects. You will also work with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. You'll travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our 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

• Be a trusted technical advisor to customers and solve complex databases and data storage challenges.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
• Act as a liaison for the engineering and product teams to commercialize solutions with partners and customers.
• Provide highly technical implementation support in customer environment, including guidance on implementation feasibility of cross-product integrations.