The Data Engineer role in gTech Users and Products Engineering at Google focuses on creating and optimizing data pipelines and warehouses to support various products and services. The team advocates for users by ensuring their needs are met through effective data solutions. This position involves collaboration with data scientists and stakeholders to enhance data infrastructure and drive business insights. The role requires both technical skills and the ability to manage evolving operational requirements.

• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year of experience designing data pipelines and dimensional data modeling for system integration.
• Experience working with data models by performing exploratory queries and scripts.

• Leverage advanced AI to design, develop, and support robust data pipelines and reporting systems.
• Create, optimize, and modify scalable ETL processes using traditional and large-scale distributed data systems.
• Partner closely with data scientists to transition and productionize statistical and machine learning models.
• Align and collaborate with product, user, and engineering stakeholders to ensure data infrastructure meets operational requirements.
• Author comprehensive technical design documents while managing continuous innovation for business insights.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.