T&T | EAD | Consultant | Data Engineer Knowledge graph | Bengaluru | Engineering

T&T | EAD | Consultant | Data Engineer Knowledge graph | Bengaluru | Engineering Job requisition ID : 103724 Location : Bengaluru Entity : Deloitte Touche Tohmatsu India LLP The Team Deloittes Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Your work profile Deloitte is looking for a Data Engineer with strong expertise in Knowledge Graphs , with GraphDB (RDF/OWL/SPARQL) as the preferred primary skillset, and Neo4j/Cypher as an alternative. You will design and operate graphcentric data architectures and integrate them with Snowflake to deliver highquality, governed, and semantically rich data products across the organization. Key Skills & Competencies Knowledge Graph Engineering (Primary Focus) Design, build, and maintain RDF/OWLbased knowledge graphs using GraphDB or similar triple stores . Develop ontologies, vocabulary, and semantic schemas to accurately represent business domains. Write and optimize SPARQL queries and implement reasoning/inference rules as needed. Manage ingestion pipelines to populate and update RDF graphs, ensuring consistency and performance. Support property graph modeling as secondary expertise using Neo4j/Cypher where applicable. Build and maintain curated Snowflake data products : domainaligned tables, views, and semantic layers. Implement ELT with Snowpipe, Streams, and Tasks , plus performance optimization and governance controls. Ensure strong documentation, data quality, lineage, and versioning for all Snowflake datasets. Develop and manage EL/ETL/ELT pipelines that feed both the knowledge graph and Snowflake. Use orchestration tools such as Airflow, Prefect, or Azure Data Factory for automation. Implement CI/CD for data workflows, with monitoring, alerting, and highreliability operational practices. Apply RBAC, masking, and row/columnlevel security in both Snowflake and graph systems. Maintain lineage, metadata, and standardized documentation across all data assets. Define schema standards, semantic conventions, and data contracts with producers and consumers. Partner with domain experts, analysts, engineers, and ML teams to understand semantics and translate concepts into graph structures and data products. Advocate for graphdriven design and semantic consistency across domains. Experience designing ontologies or complex semantic data models. Familiarity with dbt or other ELT frameworks. Exposure to Spark/Databricks. Experience with lineage/metadata tools (OpenLineage, Purview, Collibra). Experience building REST or GraphQL APIs for data access. Preferred Qualifications Education - B. tech / BE in Computer Science or Information Technology. Success Metrics 46 years of handson data engineering experience. Strong, practical experience with GraphDB or any RDF/OWL/SPARQLbased knowledge graph stack . Experience with Neo4j/Cypher as secondary graph expertise. Strong Snowflake ELT skills, including Snowpipe/Streams/Tasks and warehouse optimization. Proficiency in SQL and Python . Experience with structured and semistructured data (JSON, Parquet, Avro). Cloud object storage (S3/ADLS/GCS) experience. Handson experience with Airflow/Prefect/ADF and Gitbased workflows. Location and way of working: Base location: Bengaluru This profile involves travelling to client locations