Data Infrastructure and Analytics Specialist

Google • San Bruno, CA

1d • $168,000 - $249,000

About The Position

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . The US base salary range for this full-time position is $168,000-$249,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Requirements

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.

Nice To Haves

• Experience in designing, building, and maintaining data infrastructure, including data modeling, relational/non-relational databases, and data warehousing.
• Experience with developing and maintaining data pipelines and Extract, Transform, Load (ETL) processes, using programming languages such as Python, Java, or Go, and proficiency in SQL.
• Experience in data analysis, including data exploration, transformation, and using data to derive insights.

Responsibilities

• Build systems to directly contribute to the safety and security of Googlers and the company.
• Engage with datasets from various sources, requiring innovative approaches to data processing, analysis, and automation.
• Utilize and develop solutions involving Machine Learning, AI, and advanced analytics pipelines to identify, assess, and manage potential threats more effectively and efficiently.
• Develop and refine tools, dashboards, and automated workflows that enable our security operations teams to be more effective and manage threats.
• Work closely with security analysts, intelligence experts, and other engineering teams across Google to deliver integrated solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees