Data Engineer/Python SR

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

 

Job Summary

To work as a data engineer on a chatbot and copilot applications, leading the design and implementation of an efficient RAG system while seamlessly integrating multiple data sources.

 

 

Responsibilities and Duties

• Implement the ingestion and integration of multiple data sources (audio, video, PowerPoint presentations, documents, etc.);
• Design and implementation of data structure within appropriate storage solutions;
• Enhance data quality through version control and updates;
• Implement efficient search algorithms to optimize data retrieval;
• Participate in the design of an efficient RAG system;
• Hands-on programming using Python.

 

 

Essential Skills

• Strong proficiency in Python programming with experience in building scalable and maintainable codebases;
• Solid understanding of embedding models, vector databases, and similarity search techniques;
• Hands-on experience with LLM frameworks such as LangChain;
• Knowledge of data preprocessing techniques for handling textual, audio, and video data;
• Practical expertise with tools like FAISS, Pinecone, Weaviate, or similar is highly desirable;
• Data and ML Knowledge;
• Experience with file ingestion processes for diverse formats (e.g., text, graphics, tables, images, PPT, video);
• Experience with RAG (Retrieval-Augmented Generation) workflows and their integration with LLMs;
• Understanding of vector mathematics, including cosine similarity and Euclidean distance.

 

 

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.