Cloud Technical Solutions Engineer, Data Analytics, Google Cloud
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Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 4 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
- 4 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
- Experience in data analytics, warehousing, ETL development, data science, or other Big Data applications.
Preferred qualifications:
- Experience with SQL database administration, open source software communities, Cloud networking solutions, or distributed computing.
- Experience working in a dynamic organization with cross-collaboration across functions.
- Experience in technical consulting on database design and architecture supporting enterprise customers with high SLO and SLA requirements.
- Experience working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes).
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 listen to the customer and swiftly problem-solve technical issues 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 Cloud business and helping companies around the world innovate.
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 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 diagnosis.
- Act as consultant and subject matter expert for internal stakeholders in engineering, sales, 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, including working 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.
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