Azure Data Engineer

Profile: Senior Azure Data Engineer

Skills: Azure,Django and python and Building ETL pipelines Azure Fabric ,Snowflake ,AI

Experience: 7+ Years

Working Hours: 3–4 hours per day (Between 7 PM IST to 1 AM IST) or (6 AM IST To 11 AM IST)

Working Days: Monday To Friday

Location: Remote

Job Summary

We are seeking an experienced Azure Data Engineer with strong expertise in Python, Django, Azure Fabric, Snowflake, ETL Pipelines, and AI-driven data solutions. The ideal candidate will design, develop, and optimize scalable data platforms, build robust ETL/ELT pipelines, integrate enterprise data sources, and leverage AI technologies to deliver intelligent analytics and automation solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data solutions using Microsoft Fabric and Azure services.
• Develop backend applications and APIs using Python and Django.
• Design and manage enterprise data warehouses using Snowflake.
• Integrate data from multiple structured and unstructured sources.
• Develop AI-powered data workflows utilizing Azure AI services and Machine Learning.
• Create data transformation processes ensuring high data quality and governance.
• Optimize pipeline performance, scalability, and cost efficiency.
• Implement CI/CD pipelines for data engineering solutions.
• Monitor data pipelines, troubleshoot failures, and ensure high availability.
• Collaborate with Data Scientists, BI Developers, and business stakeholders.
• Implement security, compliance, and governance best practices.
• Prepare technical documentation and deployment guides.

Required Skills

Cloud & Data Engineering

Microsoft Azure

Microsoft Fabric

Azure Data Factory (ADF)

Azure Synapse Analytics

Azure Data Lake Storage (ADLS)

Azure Functions

Azure DevOps

Programming

Python

Django Framework

REST APIs

SQL

PySpark

Data Warehousing

Snowflake

Data Modeling

Performance Optimization

ETL & Integration

ETL/ELT Pipeline Development

Data Migration

Data Transformation

Workflow Automation

Pipeline Monitoring

AI & Analytics

Azure AI Services

Azure Machine Learning

Generative AI Integration

AI-assisted Data Processing

LLM API Integration (Preferred)

Databases

SQL Server

PostgreSQL

Snowflake

Cosmos DB (Preferred)

DevOps

Git

Azure DevOps

CI/CD Pipelines

Docker

Kubernetes (Preferred)

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Azure cloud services.
• Experience designing enterprise-scale ETL/ELT solutions.
• Expertise in Snowflake Data Warehouse.
• Strong Python and Django development experience.
• Experience with Microsoft Fabric implementation.
• Good understanding of AI/ML integration in data platforms.
• Strong SQL and database optimization skills.
• Excellent problem-solving and analytical abilities.

Pay: From ₹30,000.00 per month

Benefits:

• Work from home

Experience:

• Azure: 6 years (Required)
• Azure Fabric: 4 years (Required)
• Snowflake: 4 years (Required)
• AI: 3 years (Required)
• Python: 4 years (Required)

Work Location: Remote