Python Developer/AIML

• 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.

• 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.