Tech Stack

Description

You will build production-grade GenAI-enabled analytics solutions integrating enterprise data sources like Salesforce, Gong, and Oracle. You'll establish end-to-end LLM pipelines with evaluation frameworks and guardrails, design data models, and partner with stakeholders to drive business impact.

Requirements

• 8+ years in analytics engineering, data engineering, or data science
• Bachelor's degree in CS, Statistics, Data Science, or related field
• Strong understanding of LLM fundamentals and practical tradeoffs
• Expert SQL skills with complex joins, window functions, and optimization
• Experience with dimensional modeling and orchestration tools like Airflow or dbt

Responsibilities

• Build GenAI-enabled analytics solutions integrating enterprise data sources
• Establish end-to-end LLM pipelines with evaluation frameworks and guardrails
• Lead technical scoping for GenAI use cases assessing feasibility and ROI
• Design and own analytics-ready data models including dimensional modeling
• Develop and maintain robust data pipelines with Airflow or dbt