Python Developer/AIML

Wymagania: - Strong experience with Python development. - Knowledge of RDF (Resource Description Framework) for semantic data modeling. - Experience writing SPARQL queries for knowledge graph data. - Familiarity with knowledge graph tools such as Apache Jena. - Experience with SQL and data processing workflows (ETL/ELT). - Experience working with REST and GraphQL APIs. - Hands-on experience with Google Cloud Platform, especially: - BigQuery - GKE - Dataproc - Experience with Infrastructure as Code (Terraform). - Experience implementing CI/CD pipelines (GitHub Actions). - Understanding of cloud security concepts such as IAM and VPC-SC. - Familiarity with Machine Learning and Knowledge Graph concepts. Nice to Have - Experience building data-driven interfaces using React. - Experience working with semantic query tools such as YASGUI and YASR. - Knowledge of distributed data processing and large-scale data platforms. Codzienne zadania: - Design and implement semantic data models using RDF. - Build and optimize SPARQL queries for efficient data retrieval from knowledge graphs. - Develop and maintain data pipelines and ETL/ELT processes. - Work with knowledge graph tools such as Apache Jena and query interfaces like YASGUI. - Use YASR to visualize and analyze query results. - Develop backend services and integrations using Python. - Build and maintain data APIs using REST and GraphQL. - Deploy and operate solutions in Google Cloud Platform (GCP) using services such as BigQuery, GKE, and Dataproc. - Manage infrastructure using Infrastructure as Code tools like Terraform. - Implement CI/CD pipelines using GitHub Actions. - Ensure secure access to data using IAM and VPC Service Controls (VPC-SC). - Collaborate with frontend teams when building interfaces using React. - Support machine learning and advanced analytics use cases powered by knowledge graph data.