Job highlights

- 8-12 years in Data Engineering and AI with expertise in Azure Databricks, PySpark, Azure AI Foundry, LangChain, and Multi-Agent Architectures
- Design and deploy AI-powered agents to automate data workflows, build multi-agent data solutions, develop AI-assisted metadata and pipeline tools, and enable AI-driven analytics via Power BI

Role Snapshot Role Title: Data Engineer + AI Engineer (DE + AI)

Location / Work Model: Bengaluru, Hyderabad, Chennai, Pune, Noida, or Gurgaon | Hybrid

Domain / Industry: Enterprise Data, AI & Analytics

Key Responsibilities

- Design and deploy AI-powered agents using Azure AI and contemporary agentic frameworks to automate data engineering and analytics workflows.
- Build multi-agent solutions for data product generation, onboarding, reconciliation, testing, root-cause analysis, and business Q&A.;
- Develop AI-assisted capabilities for metadata discovery, schema mapping, transformation generation, and data pipeline acceleration.




- Enable AI-driven analytics through Power BI, semantic models, executive storytelling, and natural language data interaction.

Core Requirements
- 8-12 years of experience in Data Engineering, Analytics, and AI solutions.
- Strong hands-on expertise in Azure Databricks, PySpark, Python, SQL, Azure Data Factory, Delta Lake, and Unity Catalog.
- Experience with Azure AI Foundry, Azure OpenAI, LangChain, Semantic Kernel, RAG, Vector Databases, Prompt Engineering, and Multi-Agent Architectures.
- Knowledge of DevOps, CI/CD, REST APIs, Data Governance, Data Lineage, Metadata Management, Data Quality Frameworks, and Responsible AI practices.
- Exposure to large-scale enterprise data platforms; experience in supply chain, trading, commodity, logistics, finance, or similar domains is advantageous.

📌 Data Engineer AI (Noida)
🏢 Honeybee Tech Solutions
📍 Noida