Cloud Technical Solutions Engineer, Data Analytics
hace 4 semanas
Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Minimum qualifications:- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 2 years of experience reading or debugging code in one or more of the following (e.g., Java, C, C++, .NET, Python, Shell, Perl, JavaScript).
- 2 years of experience in technical support, professional services, software development, or product operations management.
- Experience in advocating for customer needs.
Preferred qualifications:
- Experience with distributed, columnar or analytic oriented databases or distributed data processing frameworks.
- Experience in data analytics, warehousing, ETL development, data science or other Big Data applications.
- Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products.
- Understanding of basic web technologies.
- Understanding of TCP/IP concepts, Unix/Linux basic administration and commands.
- Excellent troubleshooting, attention to detail, and communication skills in a fast-paced setting.
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- 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.
- Work as part of a team of engineers/consultants that globally ensure 24-hour customer support.
- Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams to find ways to improve the product and drive quality production.
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