Senior Data Engineer

1 week 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).
Impact
This 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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