Cloud Technical Solutions Engineer, Data Analytics

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.

Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

2 years of experience reading or debugging code in a general purpose coding language (e g, Java, C, C++, Python, Shell, Go, JavaScript).

2 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e g, hardware, software, application, operational, process).

Preferred qualifications: Experience in data analytics, warehousing, ETL development, data science, or other Big Data applications.

Experience with SQL database administration, open source software communities, Cloud networking solutions, or distributed computing.

Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products.

Experience working in a dynamic organization with extensive cross-collaboration across functions.

Understanding of web technologies and TCP/IP concepts, Unix/Linux basic administration and commands.

Excellent troubleshooting, attention to detail, and communication skills in a fluid environment.

About the jobIn this role, you will provide support to the customers making the switch to Google Cloud.

When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to swiftly 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.

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 needed.

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.

Develop an in-depth understanding of Google Cloud's Data analytics products (like BigQuery, Dataproc, etc) and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, along with building tools and documents for faster diagnosis.

Act as consultant and subject matter expert for internal stakeholders in engineering, sales, 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 work non-standard work hours/shifts, including weekend work.

Understand customer issues, advocate for their needs with internal teams, including product and engineering teams and drive high-quality production.

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 also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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