Data Engineer

Honeybee Tech Solutions; Hyderabad, Chennai District, Bengaluru; In loco; INR 1.800.000 - 3.600.000; Tempo pieno

Descrizione del lavoro

Honeybee Tech Solutions is seeking an experienced AI Engineer Enterprise Hydrocarbon Inventory to design and deploy AI-powered agents and data pipelines using Agentic AI, Azure data tools, PySpark, and Databricks.

The role focuses on automating data discovery, testing, reconciliation, and analytics to deliver governed, scalable AI-ready data products and self-service dashboards for business insights.

Competenze

• Hands-on experience with Agentic AI, Azure Data Engineering, Databricks, PySpark and LLM technologies.
• Experience building AI-powered agents and data pipelines for data product development.

Mansioni

• Design, build, and deploy AI-powered agents and agentic workflows.
• Automate data discovery, pipeline development, testing, and reconciliation.
• Develop AI-driven root‑cause analysis and business insight capabilities.
• Build scalable, governed, and AI-ready data products.
• Enable self-service analytics and visualization solutions.
• Implement responsible AI, data quality, and governance practices.

Conoscenze

Agentic AI

Azure OpenAI

Azure Foundry

LangChain

Semantic Kernel

RAG

Vector DBs

Prompt Eng

LLM Eval

Multi-Agent

Python

PySpark

SQL

Azure Databricks

Delta Lake

Unity Catalog

ADF

Data Modeling

ETL/ELT

Power BI

Data Storytelling

BI Insights

GitHub

CI/CD

REST APIs

Microservices

Data Lineage

Data Marketplace

Responsible AI

Strumenti

Python

PySpark

SQL

Azure Databricks

Delta Lake

Unity Catalog

ADF

Descrizione del lavoro

URGENT HIRING AI ENGINEER | AGENTIC AI & AZURE DATA ENGINEERING

Honeybee Tech Solutions is hiring an experienced AI Engineer Enterprise Hydrocarbon Inventory for a reputed client.

Role Overview

We are looking for a skilled professional with hands‑on experience in Agentic AI, Azure Data Engineering, Databricks, PySpark, and LLM technologies.

The role focuses on building AI-powered agents to accelerate data product development, data pipeline automation, testing, reconciliation, root‑cause analysis, analytics, and business insights.

Key Skills Must Have

AI & Agent Engineering

• Azure AI Foundry
• Azure OpenAI
• Agentic AI Frameworks
• LangChain / Semantic Kernel
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Prompt Engineering
• LLM Evaluation Frameworks
• Multi‑Agent Orchestration

Azure Data Engineering

• Python
• PySpark
• SQL
• Azure Databricks
• Delta Lake
• Unity Catalog
• Azure Data Factory (ADF)
• Data Modeling
• ETL/ELT Design

Analytics & Visualization

• Power BI
• Data Storytelling
• Business Insights Generation

Software Engineering & DevOps

• GitHub
• CI/CD
• REST APIs
• Microservices

Data Governance

• Data Lineage
• Data Marketplace
• Responsible AI Controls

Key Responsibilities

• Design, build, and deploy AI-powered agents and agentic workflows.
• Automate data discovery, pipeline development, testing, and reconciliation.
• Develop AI-driven root‑cause analysis and business insight capabilities.
• Build scalable, governed, and AI-ready data products.
• Enable self-service analytics and visualization solutions.
• Implement responsible AI, data quality, and governance practices.

Candidate Details Required

• Azure OpenAI / Azure AI Foundry Experience:
• LangChain / Semantic Kernel Experience:
• Azure Databricks Experience:
• PySpark Experience:
• Azure Data Factory Experience:
• Unity Catalog Experience:
• RAG / Vector Database Experience:

#Hiring #AIEngineer #AgenticAI #AzureOpenAI #AzureAI #AzureDatabricks #AzureDataFactory #PySpark #Python #LangChain #RAG #LLM #DataEngineering #UnityCatalog #PowerBI #UrgentHiring