Mid-Level Data Engineer (Ontologist)

Hello, we are CESAR! We are an innovation and education center that, for nearly 30 years, has been training people and empowering organizations by enhancing their digital strategies. We solve complex and challenging problems in a relaxed, decentralized work environment full of benefits for our employees, who act as protagonists, interacting directly with global-scale clients. As a Data Engineer (Ontologist), your mission will be to create robust ontologies, taxonomies, and semantic relationship structures. You will bridge the world of Data Engineering with knowledge modeling, ensuring that information offers comprehensive coverage for ingestion and machine inference. We are looking for a professional capable of understanding complex processes and translating them simply, expanding data retrieval techniques and working directly with Generative AI and Knowledge Graphs. You will be part of an agile team, optimizing pipelines and ensuring product quality from end to end. Up for the challenge? Let's go! What your day-to-day will look like (Responsibilities): Ontology and Semantic Modeling: Create semantically rich, extensible ontologies, taxonomies, and logical data models. Ensure subdomain coverage for machine inference, work on optimizing Knowledge Graphs, and build new schemas using Generative AI. Data Engineering and Pipelines: Develop analytical products using Airflow, DataProc, PySpark, etc.