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Sr Data Engineer

Posted about 4 hours ago

Officebengaluru, , IndiaSE

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 :

Job details
Workplace
Office
Location
bengaluru, , India
Experience
SE

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Key team members

Prof. Dirk Slama

Prof. Dirk Slama

Susan Schwarze (PhD)

Susan Schwarze (PhD)

Karen Folger

Karen Folger

Kai Hackbarth

Kai Hackbarth

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