Microsoft Fabric Data Engineer
Location: Remote (India)
Shift: U.S. Pacific Time Shift (8:30 PM IST onwards)
Experience: 3+ Years
Job Summary
We are seeking a skilled Microsoft Fabric Data Engineer to design, develop, and optimize modern data solutions using Microsoft Fabric and Azure technologies. The ideal candidate will have hands-on experience in data engineering, data transformation, and analytics platforms, with a strong understanding of cloud-based data architectures.
Key Responsibilities
- Design and develop scalable data solutions using Microsoft Fabric.
- Build and maintain data pipelines using Data Factory and Dataflows Gen2.
- Develop and optimize Lakehouse solutions leveraging OneLake and Delta Lake.
- Implement Medallion Architecture (Bronze, Silver, Gold layers) for enterprise data platforms.
- Develop data transformation and processing solutions using PySpark and SQL.
- Collaborate with business and technical stakeholders to understand data requirements.
- Monitor, troubleshoot, and optimize data workflows and performance.
- Implement data quality, governance, and security best practices.
Required Skills
- Microsoft Fabric (Data Factory, Lakehouse, Dataflows Gen2)
- PySpark
- SQL
- OneLake
- Delta Lake
- Medallion Architecture
- Data Engineering & Data Pipelines
- Azure Data Services
- Data Modeling
- Data Automation
Preferred Skills
- Azure Synapse Analytics
- Azure Databricks
- Azure Event Hubs
- DP-700 Certification
- DP-203 Certification
- CI/CD Pipelines
- Git-Based Deployments
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Minimum 3+ years of experience in Data Engineering.
- Experience working with cloud-based analytics and data platforms.
Benefits
- Remote Work Opportunity
- Exposure to Global Clients and Projects
- Collaborative Team Environment
- Career Growth Opportunities
How to Apply
Interested candidates can share their updated resume to:
[email protected]
Company: Revolite
Pay: Up to ₹1,200,000.00 per year
Work Location: Remote
