Related skills
sql dbt airflow genai llm📋 Description
- Build GenAI analytics solutions integrating enterprise data sources.
- Establish end-to-end LLM pipelines with retrieval, observability, and guardrails.
- Lead GenAI use-case scoping and translate to technical plans.
- Design analytics data models (star schemas, SCD Type 2) for reporting.
- Develop data pipelines and orchestration (Airflow, dbt) with data quality checks.
- Write complex SQL and optimize across enterprise datasets.
🎯 Requirements
- 8+ years in analytics engineering, data engineering, data science, or related roles.
- Bachelor’s degree in CS, statistics, data science, math, or related field.
- Strong understanding of LLM fundamentals and tradeoffs.
- Expert SQL skills (complex joins, window functions, CTEs, optimization).
- Dimensional modeling (star schemas, SCD Type 2) and orchestration (Airflow, dbt).
- Demonstrated ability to validate AI-assisted output.
- High integrity and ownership handling sensitive data.
- Strong stakeholder comms; explain constraints to non-technical partners.
- Experience with GenAI coding tools (e.g., Cursor, Claude Code).
🎁 Benefits
- Equity eligibility for eligible employees.
- Flexible working model via PinFlex.
- Equal opportunity employer commitment.
- Occasional in-person collaboration 1-2 times per quarter.
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