R
Sr Data Engineer
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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
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 :
The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.
As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is "Invented for life."
Job ID: 149229107
Skills:
Pyspark, Azure Databricks, Sql, Jenkins, Devops, Apache Kafka, Databricks, Python, workflow orchestration tools, data quality frameworks, streaming analytics, CI CD, data observability monitoring, infrastructure-as-code, event-driven architecture
Skills:
AWS, Nodejs, Sql, Java, Dynamodb, Python, Nosql, Lambda, Ec2, Scala, Elastic Search
Skills:
snowflake , Hl7, SQL Server, Azure, Python, C Sharp, AWS, ccd, FHIR
Skills:
snowflake , cloud integration, Machine Learning, Data Warehouse, Sap Apo, Power Bi, Sql, Data Visualization, Excel, Data Lake, Python, Statistics, R, ETL processes, big data solutions
Skills:
Java, Scala, Sql, Gitlab, Agile Development, Oop Concepts, data structures, Python, AWS, data transformation logic, data validation frameworks, vector databases, RAG AI Agents, prompt engineering, LLM integrations, semantic search, ETL automation solutions
