Data Engineer(Strong Python)

Location: Remote

Mandatory Skills: Python, Graph DB, OWL, SPARQL, RDF, Knowledge Graph, Data Modeling

As a Data Engineer, you will design and build semantic data solutions and knowledge graph models to support advanced search, analytics, and decision intelligence platforms. You will work with ontologies, graph databases, and semantic standards to enable highly connected data ecosystems.

• Design, develop, and maintain knowledge graph architectures and semantic data models.

• Build data pipelines and ETL/ELT workflows using Python for graph ingestion and transformation.

• Work with graph databases such as Neo4j, GraphDB, Stardog, Blazegraph, or similar platforms.

• Develop and optimize ontologies using OWL and semantic specifications.

• Write, optimize, and validate SPARQL queries for complex data retrieval and analytics.

• Ensure data consistency, lineage, and semantic integrity across linked datasets.

• Collaborate with engineering and product teams to integrate graph solutions into enterprise platforms.

• Implement best practices for performance, scalability, and modeling standards in knowledge graphs.

• Build documentation, data dictionaries, ontology definitions, and semantic metadata.

• Participate in continuous improvement and architectural enhancement initiatives.

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
Technical certifications in Cloud, Data Engineering, or Semantic Web technologies are desirable.

• 8+ years of overall Data Engineering experience, with strong Python programming skills.

• Strong hands-on experience with Knowledge Graphs and Semantic Web technologies.

• Expertise with Graph DB platforms (Neo4j, GraphDB, Stardog, JanusGraph, etc.).

• Strong understanding of OWL, ontologies, RDF, Linked Data concepts.

• Strong proficiency in SPARQL for graph querying and analytics.

• Experience with data modeling, semantic schemas, and ontology-driven design.

• Experience with ETL/ELT workflows and data transformation in production environments.

• Experience working in Agile development environments.

• Familiarity with CI/CD, Git, and cloud platforms (AWS/Azure/Google Cloud Platform) is a plus.

• Excellent communication and documentation skills.

• Strong analytical and problem-solving mindset.

• Ability to work collaboratively with technical and business teams.