Technical Solutions Engineer, Data Analytics

Minimum Qualifications:

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 3 years of experience with two or more of the following: Web Tech, Data/Big Data, SQL, BigQuery, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
• Experience with coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
• Experience with Linux/Unix or other operating systems (e.g., Kernel to Shell, file systems, client-server protocols).

Preferred Qualifications:

• Experience in data analytics, warehousing, ETL development, data science, or other Big Data applications.
• Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing.
• Experience working in a dynamic organization with extensive cross-collaboration across functions.
• Experience in technical consulting on database design and architecture supporting large enterprise customers with high SLO and SLA requirements.
• Experience with debugging, working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes).

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 developed 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.

In this role, you will provide support to customers making the switch to Google Cloud. When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to swiftly resolve the issue. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will help Google Cloud by understanding and advocating for our customers issues. You will be required to work in a shift pattern or non-standard work hours as needed. This may include weekend work.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Develop an in-depth understanding of Google Cloud's data analytics (e.g. BigQuery) and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis.
• Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of a team of Engineers/Consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams and drive high-quality production.
• Work with customers on their production databases to resolve issues and achieve product readiness, availability, and scale.

Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams and drive high-quality production.