Business analysis (statistical modeling, regression analysis, advanced use of tools for quantitative analysis) and web tool development or database experience (SQL; Python; PHP, JavaScript, Ajax).

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Metrics team is responsible for defining and executing on the key performance indicators that enable data-driven investment and decision making on the frameworks and infrastructure that serves Google's largest and most important products (e.g., Search, Workspace, Gmail and more).

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Develop and maintain automated ETL (Extract, Transform, Load) pipelines for efficient data processing.
• Manage structured and unstructured data from diverse sources and formats.
• Implement robust data quality assurance measures.
• Create and manage informative data dashboards for clients.