Technical Solutions Engineer, Data
Summary
Technical Solutions Engineer on Google Cloud Platform's Data team, troubleshooting customer issues across cloud data products, debugging code, and improving tools and documentation as part of a global 24x7 support organization. Core stack includes GCP, Java/Python/Shell/Go-family languages, Hadoop ecosystem, SQL/NoSQL databases, and Linux networking.
Our Technical Solutions Engineers own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.
In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make products easier to adopt and use by making improvements to the product, tools, processes and documentation. Your team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for customers’ issues.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
France: €74000 - €75500 (EUR) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Manage customer issues through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products.
- Understand Google's product technology and architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Advocate for customer needs with cross-functional teams, including product and engineering teams to find ways to improve the product and drive quality production.
- Work as part of a team of engineers/consultants that globally ensure 24-hour customer support, including a need to sometimes work non-standard work hours or shifts.
Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 5 years of experience reading or debugging code (e.g., in one or more of the following: Java, C, C++, Python, Shell, .NET, Perl, JavaScript).
- 5 years of experience in technical support, professional services, software development, or product operations management.
Preferred qualifications:
- Experience administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks.
- Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products.
- Experience in data analytics, warehousing, ETL development, data science or other Big Data applications.
- Experience with SQL/NoSQL database administration, Google App Engine, open source software communities, Cloud networking solutions, or distributed computing technology.
- Knowledge of networking fundamentals (TCP/IP, Routing, VPNs, VLANs, Peering, Load Balancing, etc.), system/network administrator level knowledge of Linux/Unix or operating systems.
- Excellent troubleshooting, attention-to-detail, and communication skills in a fast-paced setting.