Data Engineer AI

Honeybee Tech Solutions; Dadri, Pune District, Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Honeybee Tech Solutions seeks a Data Engineer + AI Engineer to design and deploy AI-powered data analytics solutions. You will work across Azure Databricks, PySpark, Python, SQL, and Azure Data Factory to build scalable data pipelines and AI-assisted workflows.

You will develop multi-agent architectures, enable AI-driven analytics with Power BI and semantic models, and contribute to metadata management and responsible AI practices. Hybrid work in India is offered for this senior position.

Qualifications

• 8-12 years of experience in Data Engineering, Analytics and AI solutions.
• Strong hands-on expertise with Azure Databricks, PySpark, Python, SQL, and Azure data tooling.
• Experience with Azure AI Foundry, OpenAI integrations, LangChain, and multi-agent architectures.

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.

Skills

Azure Databricks

PySpark

Python

SQL

Azure Data Factory

Delta Lake

Unity Catalog

Azure AI Foundry

Azure OpenAI

LangChain

Semantic Kernel

RAG

Vector Databases

Prompt Engineering

Multi-Agent Architectures

DevOps

CI/CD

REST APIs

Data Governance

Data Lineage

Metadata Management

Responsible AI

Job description

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.