Role: AI Data Engineer

Experience: 6+ years in Data Engineering, with 2+ years in AI/ML Data Pipelines

Location: Pune

Role Overview:

We are looking for an AI Data Engineer to build and optimize data pipelines for AI solutions, including RAG, vector search, and enterprise knowledge graphs.

Key Responsibilities:

- Build pipelines for structured and unstructured data ingestion and transformation.
- Develop chunking, embedding, RAG, and vector search pipelines using Azure AI Search.
- Build enterprise knowledge graphs, ontologies, and GraphRAG solutions.
- Ensure data quality, lineage, metadata, security, and access controls.
- Manage pipeline monitoring, refresh, and reconciliation.

Requirements & Qualifications:

- 6+ years in data engineering,



including 2+ years in AI/ML data pipelines.
- Robust Python, SQL, and Azure data services skills.
- Experience with Azure AI Search, embeddings, vector databases, and RAG.
- Knowledge of graph databases, ontologies, and semantic modelling.
- Understanding of data governance, lineage, and access controls.

Key Deliverables:

- Data pipelines and source-to-target mappings
- Data quality and lineage documentation
- Vector data and knowledge graph solutions

? Interested? Share your CV at [email protected]

📌 AI Data Engineer (Pune)
🏢 ZIDEA
📍 Pune