What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience building and maintaining data pipelines for reporting analysis and feature engineering
- Experience building and optimizing clean well-structured analytical datasets for business and data science use cases
- Experience implementing and supporting big data solutions for batch and real-time analytics
- Prior experience working extensively in Google Cloud Services including BigQuery and Vertex AI
- Prior experience developing dashboards in Tableau Looker or similar data visualization tools
- Expert-level programming skills in Python
- Strong command of SQL for complex querying and data manipulation
- Ability to work autonomously navigate ambiguity and drive projects from concept to completion
Nice to have
- Entrepreneurial
- Analytical
- Self-directed
- Collaborative
- Adaptable
Day to day
- Design and implement scalable data architectures and clean analytical datasets that support reporting analysis and feature engineering.
- Build and optimize batch and real-time data pipelines using cloud and big data technologies for business and data science use cases.
- Own end-to-end ML and AI model delivery including feature engineering model training evaluation deployment and monitoring.
- Partner with GTM GCS Product and Finance teams to translate business challenges into practical AI-driven solutions and clear recommendations.