Data Engineer

Data Engineer - Google Careers

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Data Engineer

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Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

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Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field, and 1 year of experience in the job offered or in a Data Engineer-related occupation.
• Position requires 1 year of experience in the following: Database performance tuning, including SQL query optimization; Database management using tools for backup, recovery, and partitioning; Large-scale data migration from on-premise or data center environments to cloud; Development of ETL or ELT workflows, data pipeline design, and dimensional data modeling; Software development in Java, C++, Python, Go, or JavaScript

About the job

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.

The US base salary range for this full-time position is $123,900 - $151,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Austin, TX office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Design and implement secure, scalable, and reliable data solutions, including data models, pipelines, and infrastructure frameworks.
• Perform exploratory data analysis and leverage machine learning models to enable data-driven insights and business solutions.
• Create and deliver technical enablement materials, including best practice guides, sample code, presentations, and educational workshops.
• Collaborate with product management, engineering, and data science teams to influence product development and drive technical excellence.
• Advise customers on migrating and optimizing database systems and data processing workloads on Google Cloud Platform. Analyze cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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