✨ About The Role
- The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines.
- This role involves building and optimizing the infrastructure that supports data flows in and out of production applications.
- The engineer will monitor, troubleshoot, and optimize data workflows, including ETL processes.
- Collaboration with backend application engineers is necessary to ensure seamless data integration.
- The position requires leveraging advanced techniques, including Large Language Models and AI strategies, to automate data cleaning and structuring processes.
âš¡ Requirements
- A bachelor's degree in Computer Science, Engineering, or a related field is required for this position.
- The ideal candidate should have at least 3 years of experience in data engineering and data-centric programming tasks using Python.
- Proven experience in implementing Large Language Models in data pipelines is essential for success in this role.
- Candidates should possess strong analytical skills and the ability to process and analyze large volumes of quantitative and qualitative data.
- Attention to detail and excellent organizational abilities are crucial for managing complex data challenges effectively.