Technical Solutions Engineer, Data, Google Cloud
Job Summary
Job Description
- Bachelor's degree in STEM or equivalent experience
- 4+ years in technical support, professional services, or development
- 4+ years of code reading/debugging experience (Java, C, C++, Python, etc.)
- Troubleshooting and communication skills
- Understanding of Google Cloud's Data Analytics and AI/ML
- Experience with multi-node environments
- Data analytics, warehousing, ETL, Big Data, AI/ML experience
- Experience with distributed databases or data processing frameworks
- Machine learning technologies (TensorFlow) experience
- TCP/IP, Unix/Linux administration knowledge
15 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 4 years of experience in technical support, professional services, software development, or product operations management
- 4 years of experience reading or debugging code (e.g., in one or more of the following: Java, C, C++, Python, Shell, Perl, JavaScript).
Preferred qualifications:
- Experience with debugging workload issues across multi-node environments.
- Experience in data analytics, warehousing, ETL development, data science or other Big Data applications and AI/ML tools and usage of models.
- Experience with distributed, columnar or analytic oriented databases or distributed data processing frameworks.
- Experience with machine learning technologies (e.g., Tensorflow), developing or training models or implementing solutions that evoke such models.
- Understanding of TCP/IP concepts, Unix/Linux basic administration and commands, from Kernel to Shell, file systems, and client-server protocols.
- Excellent troubleshooting, attention to detail, and communication skills in a fast paced setting.
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.
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), AI/ML, and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in Engineering, Business, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Work as a part of a team of Engineers/Consultants that globally ensure 24 hour customer support.
- Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, and drive quality production.
- Work with customers on their production deployment to resolve issues and achieve product readiness, availability, and scale.
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