Sr Data Engineer

Job Description Experience Summary 6-8 years of Data Engineer specialized in building document and knowledge-oriented data pipelines for regulatory/compliance domains, with strong capabilities in structured transformations, knowledge graphs, and containerized platform integration. Core Responsibilities / Focus Build and operate data ingestion and transformation pipelines for legal/regulatory content Normalize and transform heterogeneous source formats (e.g., XML/HTML/structured exports) using tools such as XSLT Implement pipelines for embeddings generation, indexing, and enrichment for downstream AI/RAG systems Design and manage RDF-based knowledge representations and SPARQL-accessible datasets Integrate storage and processing components across containerized/cloud environments Support event-driven or integration-heavy workflows (e.g., via Apache Camel, message brokers) Ensure reproducibility, maintainability, and operational handover of data pipelines Core Skills (Must-Have) Python Docker / Docker Compose Kubernetes Knowledge Graphs (RDF) SPARQL XSLT /Java Embeddings pipelines / vector preparation Azure Storage (or equivalent cloud storage services) Apache Camel Git Preferred / Nice-to-Have Docling (or similar Document conversion) CloudEvents Kafka (or other message brokers) Event-based systems / event-driven architecture Dev Containers GitOps Documentation practices Domain Advantage Experience processing legal/regulatory source documents and preserving semantic structure / provenance Familiarity with content domains such as EU regulation, privacy, ESG, and compliance frameworks Qualifications Educational qualification: BE/B.Tech or Equivalent Degree Experience : 6-8 Years Mandatory/requires Skills : Strong hands-on expertise in Python, Docker / Docker Compose, Kubernetes, Knowledge Graphs,Java (RDF),SPARQL,XSLT,Embeddings pipelines / vector preparation, Azure Storage (or equivalent cloud storage services), Apache Camel,Git Preferred Skills :