We are seeking a Senior Data Engineer to build scalable data platforms, real-time streaming solutions, and graph-based data ecosystems that support analytics, AI, and agentic applications. The role involves working with modern data architectures, knowledge graphs, semantic technologies, and cloud platforms.

Key Responsibilities

• Design and develop scalable batch and real-time data pipelines.

• Build event-driven solutions using Apache Kafka.

• Develop and maintain knowledge graphs, semantic data models, and SPARQL-based solutions.

• Support AI/LLM initiatives through RAG, GraphRAG, MCP, and A2A integrations.

• Implement cloud-native data solutions and data engineering best practices.

• Collaborate with cross-functional teams to deliver high-quality data products.

Required Skills

• 8+ years of experience in Data Engineering.

• Strong Python programming skills.

• Hands-on experience with Apache Kafka and event-driven architectures.

• Experience with graph technologies, knowledge graphs, SPARQL, RDF, and graph databases (Neo4j, Neptune, GraphDB, etc.)

• Familiarity with MCP, A2A, RAG, and AI/LLM data architectures.

• Strong SQL and data modeling skills.

• Experience with Apache Spark and workflow orchestration tools.

• Excellent communication and problem-solving skills.

Preferred (Nice to Have)

• AWS or other cloud platform experience.

• Databricks, Iceberg, Delta Lake, or Hudi.

• Vector databases and GraphRAG implementations.

• Docker, Kubernetes, and Terraform.

• Experience with AI agent frameworks such as LangGraph or LangChain