Google Recruitment 2024 for Technical Solutions Consultant, Data Engineer

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Google Recruitment 2024 For Technical Solutions Consultant, Data Engineer, Google Drive is organizing Off Campus Drive for candidates should have degree in Bachelors Degree. If you are interested, Please apply as soon as possible.

Company Name: Google

Role: Technical Solutions Consultant, Data Engineer

Location: Hydrabad/Gurgaon

Experience: Freshers

Qualification: Bachelors Degree

Batch: Any Batch

Job Type: Full Time

Salary: Best in Industry

Google Recruitment 2024

About the job :

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google’s online advertising platforms and/or product partnerships.


Bachelor’s degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
Experience with fundamental computing concepts including data structures and algorithms.

Preferred qualifications:

Experience designing and executing structured analysis, deriving business insights, and communicating findings to a diverse audience.
Knowledge of fundamental computing concepts including data structures and algorithms.
Passion to learn and explore new technologies (e.g., AI/ML, GenAI, etc.).


  • Design, develop, and support data warehouses for operational and business impact data. Troubleshoot client systems or data issues resulting from internal or external systems.
  • Write, extract, transform, and load (ETL) to automate routine data collection and reporting processes using a variety of traditional as well as distributed data systems.
  • Design and develop dashboards and critical reports for supply chain, business, and finance stakeholders.
  • Work with Business Analysts and other non-technical business users to understand their analytical needs and to help them use the data and analytical tools that the team has developed.
  • Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, interpretation of data and for use of data in ML training/models.

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