1. Design build and maintain scalable data pipelines to ingest transform and serve data for Generative Engine Optimization workflows
2. Integrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiatives
3. Ensure data quality schema validation and consistency across all data sources feeding into Generative Engine Optimization models
4. Build and maintain API extraction scripts to pull data from internal and external sources relevant to Generative Engine Optimization
5. Develop reusable API connectors with proper authentication rate limiting and error handling
6. Liaise with business teams to gather requirements understand Generative Engine Optimization use cases and translate them into technical solutions
7. Write Python scripts to automate data extraction transformation and loading processes in support of Generative Engine Optimization pipelines
8. Apply working knowledge of LLMs and prompt engineering to enhance Generative Engine Optimization outcomes
9. Assist in evaluating and testing LLM outputs and AI-generated responses against Generative Engine Optimization benchmarks and quality metrics
10. Document all data workflows pipeline designs and integration patterns for team knowledge sharing
Essentially data engineer with strong GEO (Generative Engine Optimization) experience.
Job Description: 1. Design build and maintain scalable data pipelines to ingest transform and serve data for Generative Engine Optimization workflows 2. Integrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiatives 3. Ensure data quali...
Job Description:
1. Design build and maintain scalable data pipelines to ingest transform and serve data for Generative Engine Optimization workflows
2. Integrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiatives
3. Ensure data quality schema validation and consistency across all data sources feeding into Generative Engine Optimization models
4. Build and maintain API extraction scripts to pull data from internal and external sources relevant to Generative Engine Optimization
5. Develop reusable API connectors with proper authentication rate limiting and error handling
6. Liaise with business teams to gather requirements understand Generative Engine Optimization use cases and translate them into technical solutions
7. Write Python scripts to automate data extraction transformation and loading processes in support of Generative Engine Optimization pipelines
8. Apply working knowledge of LLMs and prompt engineering to enhance Generative Engine Optimization outcomes
9. Assist in evaluating and testing LLM outputs and AI-generated responses against Generative Engine Optimization benchmarks and quality metrics
10. Document all data workflows pipeline designs and integration patterns for team knowledge sharing
Essentially data engineer with strong GEO (Generative Engine Optimization) experience.