Mid-Level Data Engineer – Ontologist

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CESAR

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

CESAR is a leading center for innovation and knowledge in Brazil. The organization is deeply involved in technology, education, and business acceleration, driving competitiveness and transformation across various industries. CESAR provides robust digital solutions through cutting-edge technologies and fosters an environment of open innovation and collaboration. It supports ventures and startups with its expertise in innovation and venture tech building. CESAR is committed to producing knowledge and insights, contributing to the development of future professions, and promoting digital inclusion. With a solid governance framework, CESAR operates in partnership with academies, markets, companies, and startups to create impactful ecosystems.

📋 Description

• Create semantically rich, extensible ontologies, taxonomies, and logical data models • Ensure subdomain coverage for machine inference • Optimize Knowledge Graphs and create new schemas using Generative AI • Develop analytical products with Airflow, DataProc, PySpark, and BigQuery (GCP) • Apply streaming and batch ingestion patterns based on Data Warehouse principles • Perform data mapping and lineage, and document information flows • Identify quality issues and work with business owners to resolve them • Optimize pipelines and infrastructure for high performance, security, and low cost • Work in an Agile environment with frequent releases using TDD and CI/CD pipelines • Coordinate cross-functional projects and communicate knowledge requirements to engineering teams • Understand complex processes, advocate for well-designed solutions, and stay current with the product domain, AI, and connected services • Ensure end-to-end product quality

🎯 Requirements

• Proven experience of 2 or more years in Data Engineering, from concept through production operations • Demonstrated skills in data retrieval and search techniques • Strong foundation in ontology modeling practices • Experience building scalable, cost-effective pipelines using Google BigQuery • Experience with Airflow/Astronomer • Experience with relational databases: MySQL, PostgreSQL, and SQL Server • Experience with Apache Kafka and GCP Pub/Sub • Knowledge of Tekton, GitHub Actions, Git/GitHub, Terraform, and Docker • Experience with project management tools such as Atlassian Jira • Advanced English proficiency for daily communication with global teams • Active Google Cloud Platform (GCP) professional certifications are a plus • A master’s degree or equivalent postgraduate qualification in Computer Science, Software Engineering, Information Systems, Data Science/Data Engineering, or related fields is a plus

🏖️ Benefits

• Flexible hours and a flat organizational structure • Training and development programs • Diversity and Inclusion-focused culture • Health and dental insurance • Meal/food allowance • Language learning assistance • Childcare assistance • Contact lens allowance • Life insurance • Discounts on CESAR School courses • Birthday month day off • Gympass • Moodar • Cíngulo (focused on physical and mental health)