Mandatory Skills & Experience
- 510 years of experience as a Data Engineer in building data pipelines
- Strong hands-on expertise in Python (Minimum 5 Years) & Java (Minimum 1 Year)
- Mandatory experience with containerization & orchestration using Docker / Docker Compose and Kubernetes
- Strong experience in Knowledge Graphs (RDF) and querying using SPARQL
- Strong experience in XSLT for data transformation
- Experience in building embeddings pipelines / vector data preparation for AI/ML systems
- Experience with cloud storage services such as Azure Storage (or equivalent)
- Strong knowledge of data ingestion, transformation, and pipeline development
- Proficiency with Git for version control
