Cloud Technical Solutions Engineer, Looker
3 weeks ago
corporate_fare Google place Dublin, Ireland
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- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- Candidates will typically have 4 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
- Typically 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
- Typically 4 years of experience in technical consulting on supporting large enterprise customers with high service-level objective and service-level agreements.
- Experience with cloud computing (i.e., certifications, internships, coursework, etc.).
Our Technical Solutions Engineers manage customer challenges in addition to providing level two support to our other Support teams. In this role, you will be a part of a global team that provides support to help customers seamlessly make the switch to Looker. You will troubleshoot technical challenges for customers with a mix of debugging, networking, system administration, documentation updating, and coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes, and documentation. You'll help drive business growth of Looker by recognizing and advocating for our customers’ challenges.
Looker is a unified platform that powers data experiences and delivers actionable business insights to employees at the point of decision. Looker integrates data into the daily workflows of users to allow organizations to extract value from data at web-scale.
Responsibilities- File issue reports against product, documentation, and procedures by documenting desired behavior and/or steps to reproduce, and drive 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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