Senior Data Engineer

1. AI Data Engineering & Architecture

• Design and develop scalable data pipelines to prepare structured, semi-structured, and unstructured enterprise data for AI/GenAI applications.
• Build standardized, reusable, and governed AI-ready datasets.
• Implement data ingestion, transformation, validation, and refresh mechanisms supporting AI applications.

2. RAG, Embeddings & Vector Data Engineering

• Develop data pipelines supporting Retrieval-Augmented Generation (RAG) solutions.
• Implement document ingestion, parsing, text extraction, cleaning, chunking, and metadata enrichment.
• Develop and maintain embedding generation, refresh, and indexing workflows.

3. Knowledge Graph & Graph Data Engineering

• Design and develop graph-ready datasets representing enterprise entities and relationships.
• Transform relational and other enterprise data sources into nodes, relationships, and properties.
• Support knowledge graph development and graph-based data retrieval.

4. Cloud AI Data Integration

• Build secure data integrations across Azure, Databricks, enterprise databases, cloud storage, and APIs.