Job Description
- Job Description:
- Design and implement natural language query agents that translate user questions into optimized BigQuery SQL.
- Build and operationalize Gemini-powered AI workflows for analytics, summarization, and forecasting.
- Develop time-series forecasting models using BigQuery ML and integrate results with Gemini for explainability.
- Implement governance, access control, and auditability for AI-driven data access.
- Integrate AI capabilities into Microsoft Teams for seamless user adoption.
- Collaborate with data engineering, security, and business teams to ensure scalable and secure solutions.
- Optimize query performance, cost controls, and data reliability in BigQuery.
- Requirements:
- Strong experience with Google BigQuery and SQL at enterprise scale.
- Hands-on experience with BigQuery ML or similar forecasting/statistical modeling frameworks.
- Experience working with LLMs (Gemini, Vertex AI, or equivalent) in enterprise settings.
- Knowledge of natural language to SQL patterns and retrieval-augmented generation (RAG).
- Experience integrating data or AI services into collaboration tools (Teams, Slack, or similar).
- Strong understanding of data security, RBAC, and enterprise governance.
- Benefits:
- Affordable medical, dental, and vision benefits.
- 401(k) plan with match.
- Company-paid disability and life insurance.
- Voluntary life insurance options.
- Employee Assistance Program (EAP).
- Identity and fraud protection.
- Recognition and wellness programs.
- Flexible paid time off.
- Remote and flexible work options.
- Paid training and certification opportunities.
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