Google is a leading technology company, and they are seeking a Data Engineer for their GCS Data Science team. The role involves building data pipelines and reporting tools to support data scientists and enhance business growth for small and midsize businesses through effective data engineering solutions.
Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization
Use feature engineering to support data needs for ML/AI model development and subsequent scaling through ETL pipeline development
Recognize and 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 our advertisers grow
Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers
Qualification
Required
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
1 year of experience designing data pipelines (ETL) and model data
Experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards)
Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java)
Preferred
Experience working in a data science environment, supporting feature engineering and model automation needs
Experience working with big data tools, distributed computing and non-relational databases
Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs
Passion for analyzing large and complex data sets and converting them into the information which drive business decisions
Benefits
Benefits
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
