Mid-Level Data Engineer – Ontologist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop semantically rich and extensible ontologies, taxonomies, and logical data models.

• Ensure comprehensive subdomain coverage for machine inference.

• Enhance Knowledge Graphs and establish new schemas utilizing Generative AI.

• Create analytical products using Airflow, DataProc, PySpark, and BigQuery (GCP).

• Implement streaming and batch ingestion methodologies grounded in Data Warehouse principles.

• Conduct data mapping and lineage activities, while documenting information flows.

• Identify data quality issues and collaborate with business stakeholders to resolve them.

• Optimize pipelines and infrastructure for peak performance, security, and cost efficiency.

• Operate within an Agile framework, delivering frequent releases through TDD and CI/CD pipelines.

• Manage cross-functional projects and articulate knowledge requirements to engineering teams.

• Comprehend intricate processes, advocate for well-structured solutions, and stay updated on product domains, AI, and connected services.

• Ensure the quality of products from start to finish.

⛳️ Requirements

• Minimum of 2 years of proven experience in Data Engineering, from concept development to production operations.

• Proven skills in data retrieval and search methodologies.

• Solid foundation in ontology modeling practices.

• Experience in constructing scalable and cost-efficient pipelines utilizing Google BigQuery.

• Familiarity with Airflow/Astronomer.

• Proficiency with relational databases such as MySQL, PostgreSQL, and SQL Server.

• Experience working with Apache Kafka and GCP Pub/Sub.

• Understanding of Tekton, GitHub Actions, Git/GitHub, Terraform, and Docker.

• Familiarity with project management tools like Atlassian Jira.

• Advanced proficiency in English for daily interactions with global teams.

• Active professional certifications in Google Cloud Platform (GCP) are advantageous.

• A master’s degree or equivalent postgraduate qualification in Computer Science, Software Engineering, Information Systems, Data Science/Data Engineering, or related disciplines is a plus.

🏝️ Benefits

• Flexible working hours and a flat organizational structure.

• Access to training and development programs.

• A culture focused on Diversity and Inclusion.

• Health and dental insurance coverage.

• Meal or food allowance.

• Language learning support.

• Childcare assistance.

• Contact lens reimbursement.

• Life insurance benefits.

• Discounts on CESAR School courses.

• A day off during your birthday month.

• Gympass membership.

• Moodar access.

• Cíngulo services focused on physical and mental well-being.