Senior Data Engineer

2 weeks ago

New Delhi, India People Tech Group Inc Full time

Senior Data Engineer (Ontology & Knowledge Graph Systems)We are seeking a Senior Data Engineer to design and implement a semantic data layer that unifies complex data assets across domains. This role focuses on building Palantir-style ontology and knowledge graph systems using open-source technologies to enable interpretability, analytics, and AI-driven workflows.Key Responsibilities- Design and implement scalable ontology or knowledge graph models representing business and technical domains. - Build and maintain data pipelines (batch and streaming) for ingesting, transforming, and mapping heterogeneous data into semantic structures. - Develop and optimize storage and query layers using graph databases or RDF/OWL frameworks (e.g., Neo4j, Apache Jena, TerminusDB). - Integrate with APIs and orchestration systems to operationalize actions and workflows on ontology objects. - Implement and maintain SPARQL, Cypher, or GraphQL interfaces for downstream applications. - Collaborate with data scientists and AI teams to expose graph-based features for modeling and analytics. - Ensure data lineage, versioning, and governance of ontology schemas and transformations. - Establish telemetry, metrics, and automated tests for data quality and consistency. - Mentor other engineers on semantic modeling, data integration patterns, and graph-based system design.Required Skills and Experience- 6+ years of experience in data engineering, with strong background in distributed data systems. - Expertise in data modeling, ontology design (RDF/OWL), and graph data structures. - Proficiency with graph databases (Neo4j, TerminusDB, ArangoDB) and query languages (SPARQL, Cypher, GraphQL). - Hands-on experience with Apache Spark or similar distributed data processing frameworks. - Strong understanding of ETL/ELT workflows and data integration across multiple systems. - Proficiency in Python, Scala, or Java. - Experience designing and managing APIs, preferably GraphQL-based data access layers. - Familiarity with workflow orchestration tools (Airflow, Temporal, Camunda) and CI/CD pipelines. - Strong knowledge of data governance, schema evolution, and version control for ontology/data models. - Excellent communication and documentation skills for working with cross-functional teams.Preferred Qualifications- Experience with semantic web technologies (RDF, OWL, SHACL). - Background in AI/ML pipelines leveraging graph or semantic data. - Understanding of reasoning and inference systems. - Experience with cloud-based data platforms (AWS, GCP, or Azure).ImpactThis role will define the foundation of our semantic data architecture — creating a unified, interpretable data layer that powers decision intelligence, analytics, and AI-driven systems across the organization.

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