Data Engineer AI

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 modern 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.