remote
Data Engineer - Thomson Reuters
Data Engineer
Data Engineer focused on building AI‑driven analytics solutions, designing scalable data pipelines, and creating interactive dashboards with Snowflake, Power BI, and Tableau, while leveraging LLMs and RAG techniques to deliver actionable insights.
About the role
Key Responsibilities
- Design, develop, and maintain complex, interactive reports and dashboards using Snowflake, Power BI, Tableau, Excel, and PowerPoint.
- Build and optimize scalable ETL workflows and data pipelines that support AI and LLM/RAG based solutions.
- Implement enterprise AI platforms, tools, and LLMs to enhance data analysis and reporting capabilities.
- Collaborate with stakeholders to define reporting requirements, translate business needs into technical solutions, and deliver high‑impact insights.
- Continuously evaluate and adopt new technologies, tools, and best practices to improve data quality, performance, and scalability.
Requirements
- Proven experience with Snowflake, Power BI, Tableau, and advanced Excel/PowerPoint skills.
- Strong background in ETL development, data modeling, and pipeline orchestration.
- Hands‑on experience with LLMs, RAG, and AI platform integration.
- Excellent problem‑solving skills and ability to translate complex data into actionable insights.
- Effective communication and collaboration skills for cross‑functional stakeholder engagement.
Skills
pythonsnowflakepower bitableaullmrag