Data Engineer, Google Customer Solutions
Job Overview
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Job Description
About the Job
Google Customer Solutions (GCS) sales teams are trusted advisors and sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
Minimum Qualifications
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 1 year of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports.
- Experience partnering with stakeholders (e.g., users, partners, customers).
Preferred Qualifications
- Experience in an object-oriented programming language (e.g. Python).
- Experience partnering/working with cross-functional stakeholders and influencing across organizational boundaries.
Responsibilities
- Build data marts, pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organisation.
- Adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.
- Design and develop scalable and actionable solutions (dashboards, automated collateral, web applications) that tell a story and provide insights to help advertisers grow.
- Consult engineering partners and stakeholders to improve GCS’s data ecosystem.
- Collaborate with various stakeholders to understand feature/tooling gaps and innovate on behalf of customers.
Key skills/competency
- Data Engineering
- SQL
- Python
- Data Analysis
- ETL/ELT
- Data Modeling
- Stakeholder Management
- Reporting
- Dashboards
- Data Integrity
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your application to highlight experience in data analysis, SQL, and stakeholder collaboration relevant to Google.
- Show impact with data: Quantify your achievements in previous roles, focusing on how your data solutions drove business growth or efficiency.
- Master technical skills: Prepare for technical interviews by practicing SQL queries, data structure problems, and object-oriented programming concepts, especially Python.
- Prepare behavioral responses: Develop compelling stories that demonstrate your problem-solving, collaboration, and innovation skills using the STAR method.
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