Cloud Technical Solutions Engineer, Data Analytics
hace 2 meses
**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 with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
- Ability to communicate in English fluently in order to interact with clients.
**Preferred qualifications**:
- 4 years of experience in technical consulting on supporting large enterprise customers with high service-level objective and service-level agreement requirements.
- Experience with cloud computing (i.e., certifications, internships, coursework, etc.).
About the job
In this role, you will provide support to the customers seamlessly making the switch to Google Cloud. When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to 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. Our Technical Solutions team is focused on customer needs and 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 required, 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**:
- File issue reports against product, documentation and procedures by documenting desired behavior or steps to reproduce, and driving bugs to resolution.
- Suggest code-level resolutions for complex product bugs by leveraging relevant tools and effective communication to all stakeholders internally and externally.
- Resolve technical incidents and escalations by performing analysis utilizing relevant tools (e.g., SQL, R, Python) and leveraging custom data infrastructure or existing data models as appropriate, and formulating and interpreting data to reach specific conclusions and next steps.
- Identify opportunities and build solutions to improve support or empower customers to solve issues by using self-service tools and documentation.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.
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