Data Engineer

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: ETL/ELT, RDF, OWL, SPARQL, Neo4j, AWS Neptune, ArangoDB, Python, SQL, Cypher, Semantic Modeling, Cloud Data Pipelines, Data Quality, Knowledge Graph, Graph Query Optimization, Semantic Search. Roles and Responsibilities: Design and build advanced data pipelines for integrating structured and unstructured data into graph models. Develop and maintain semantic models using RDF, OWL, and SPARQL. Implement and optimize data pipelines on cloud platforms such as AWS, Azure, or GCP. Model real-world relationships through ontologies and hierarchical graph data structures. Work with graph databases such as Neo4j, AWS Neptune, ArangoDB for knowledge graph development. Collaborate with cross-functional teams including AI/ML and business analysts to support semantic search and analytics. Ensure data quality, security, and compliance throughout the pipeline lifecycle. Monitor, debug, and enhance performance of graph queries and data transformation workflows. Create clear documentation and communicate technical concepts to non-technical stakeholders. Participate in global team meetings and knowledge-sharing sessions to align on data standards and architectural practices. Experience Requirement: 3-8 years of hands-on experience in ETL/ELT engineering and data integration. Experience working with graph databases such as Neo4j, AWS Neptune, or ArangoDB. Proven experience implementing knowledge graphs, including semantic modeling using RDF, OWL, and SPARQL. Strong Python and SQL programming skills, with proficiency in Cypher or other graph query languages. Experience designing and deploying pipelines on cloud platforms (AWS preferred). Track record of resolving complex data quality issues and optimizing pipeline performance. Previous collaboration with data scientists and product teams to implement graph-based analytics or semantic search features. Education: Any Graduation. Show more Show less