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Technical Solutions Engineer Data Analytics

Google

Pune, Maharashtra, IndiaOn Site

Original Job Summary

About the Role

The Technical Solutions Engineer Data Analytics at Google Cloud supports customers transitioning to Google Cloud. You will troubleshoot technical issues, provide technical consulting, and help resolve deployment obstacles with cutting-edge technologies such as BigQuery, Linux/Unix, and container orchestration tools.

Minimum Qualifications

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent.
  • 3 years of experience with Web Tech, Data/Big Data, SQL, BigQuery, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
  • Coding experience in general purpose languages like Java, C, C++, Python, Shell, Go, or JavaScript.
  • Experience with Linux/Unix or similar operating systems.

Preferred Qualifications

  • Experience in data analytics, warehousing, ETL, or data science.
  • SQL database administration and experience with open source communities.
  • Consulting experience in database design and architecture.
  • Knowledge of debugging distributed applications in Docker or Kubernetes environments.

Responsibilities

  • Develop deep understanding of Google Cloud's data analytics tools.
  • Troubleshoot and diagnose customer issues in a 24-hour support environment.
  • Act as a consultant and subject matter expert internally.
  • Collaborate with cross-functional teams to ensure production readiness and scale.
  • Work shift patterns including non-standard hours and weekends if necessary.

Key Skills/Competency

  • Google Cloud
  • BigQuery
  • Data Analytics
  • Troubleshooting
  • Coding
  • Linux/Unix
  • Kubernetes
  • SQL
  • Consulting
  • Systems Administration

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize Resume: Highlight cloud and analytics skills.
  • Showcase Projects: Emphasize troubleshooting and consulting experience.
  • Research Google: Understand their Cloud Platform and culture.
  • Prepare for Shifts: Ready for non-standard and weekend work.

📝 Interview Preparation Advice

Technical Preparation

Review BigQuery and cloud architectures.
Practice Linux and Unix troubleshooting.
Revisit Kubernetes container management.
Code small projects in Python or Java.

Behavioral Questions

Describe a challenging technical problem solved.
Explain teamwork in high-pressure scenarios.
Discuss handling non-standard work hours.
Outline cross-functional communication experience.