Google Is Hiring Data Engineer And No Experience Required

Google Is Hiring Data Engineer And No Experience Required Every Fresher Can Apply

About the job

As a Data Engineer, 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.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google’s partnerships, as well as develop product strategy and prioritize projects and resources.

In this role, you will gather, assess, and manage data about every part of Google’s hardware supply chain, and transform it into reports and insights. You will help set the foundation for Devices and Services Business data infrastructure.

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Google Is Hiring Data Engineer And No Experience Required

Job Role	Data Engineer
Education Qualifications	BE/B.Tech
Salary Package	10 to 70 LPA [Glassdoor]
Experience	Fresher
Last apply date	ASAP

Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.

Minimum Qualifications

Bachelor’s degree in Computer Science, Information Systems, a related technical field, or equivalent stream.
Knowledge of fundamental computing concepts including data structures and algorithms.

Responsibilities

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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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.)

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Google mission

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user’s interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people’s lives better through technology.

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