Cloud Technical Solutions Engineer, Data Analytics, SQL

Google Cloud provides enterprise-grade solutions leveraging cutting-edge technology to help organizations digitally transform.
Cloud
Entry-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · Cloud

Description For Cloud Technical Solutions Engineer, Data Analytics, SQL

Google Cloud is seeking a Cloud Technical Solutions Engineer specializing in Data Analytics and SQL to join their technical support team in Mexico City. This role is crucial in supporting customers transitioning to Google Cloud Platform, focusing on troubleshooting technical issues and ensuring customer success.

The position requires a blend of technical expertise and customer service skills, with responsibilities ranging from debugging code and managing customer issues to acting as a technical consultant. You'll work with various programming languages and technologies, particularly in data analytics and cloud computing environments.

As a Cloud Technical Solutions Engineer, you'll be part of a global team providing 24/7 customer support, which may involve working in shifts or non-standard hours. You'll need strong problem-solving abilities and excellent communication skills to effectively diagnose and resolve customer issues, while also advocating for customer needs with product and engineering teams.

The ideal candidate will have a background in computer science or related field, with experience in technical support or software development. Knowledge of data analytics, warehousing, and big data applications is highly valued, as is familiarity with distributed systems and database technologies.

This role offers the opportunity to work with cutting-edge cloud technology at one of the world's leading tech companies. You'll be at the forefront of helping organizations digitally transform their businesses, working with Google's enterprise-grade solutions and innovative tools. The position provides exposure to a wide range of technologies and the chance to impact how customers utilize Google Cloud Platform.

Working at Google means joining a company committed to diversity, equity, and inclusion, with a strong focus on work-life balance and professional development. The role offers the unique opportunity to work with global teams and contribute to the growth of Google Cloud's presence in Mexico while solving complex technical challenges for customers worldwide.

Last updated a month ago

Responsibilities For Cloud Technical Solutions Engineer, Data Analytics, SQL

  • 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. This will include a need to sometimes work non-standard work hours or shifts
  • 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

Requirements For Cloud Technical Solutions Engineer, Data Analytics, SQL

Java
Python
Linux
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
  • 2 years of experience reading or debugging code (e.g., in one or more of the following: 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
  • Experience with distributed, columnar or analytic oriented databases, or distributed data processing frameworks
  • 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

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