Lead AI Enterprise Data Engineer
Tasks
- Architect data and AI solutions across Databricks and AWS
- Automate incident intelligence monitoring and reporting
- Build AI agents using AWS GenAI
- Build AI copilots and internal tools
- Build near real time dashboards
- Define operational and business metrics
- Design anomaly detection models
- Design churn forecasting models
- Design orchestration layers for automated decision making
- Develop scalable data pipelines
- Implement AI cost optimization strategies
- Implement AI governance frameworks
- Implement CI/CD pipelines
- Implement data quality and validation frameworks
- Integrate AI systems with APIs and telemetry
- Integrate LLMs into production systems
- Optimize data lake structures
- Predict funnel drop off
- Track AI driven KPIs
Perks/Benefits
- Community involvement support
- Flexible work arrangements
- Medical, dental & vision coverage
- Paid parental leave
- Paid time off
- Performance bonus
- Retirement and pension plans
Skills/Tech-stack
AWS | AWS GenAI | Amazon Web Services | Anomaly Detection | Anthropic Claude | Artificial Intelligence | CI/CD | Churn forecasting | Data Lake | Data Pipelines | Data Quality | Data Validation | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Grafana | LLM | Langchain | Looker | Machine Learning | Medallion Architecture | NoSQL | OpenAI | Power BI | PySpark | SQL | Tableau | Time Series | Web Services
Education
N/A
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