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
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
