Microsoft Fabric Engineer

Cozentus Technologies; Khordha, Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Cozentus Technologies in India is seeking a data engineer to design, build, and optimize data pipelines using Microsoft Fabric and to develop robust ETL/ELT processes that feed scalable data warehouses. You will create Lakehouse solutions, semantic models, and datasets for reporting and analytics.

Additionally, you will develop interactive Power BI dashboards, optimize models for performance, and collaborate with stakeholders to define reporting requirements and deliver reliable analytics across

Responsibilities

• Design, develop, and maintain data pipelines using Microsoft Fabric.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and integration.
• Design and implement data warehouse solutions following best practices.
• Develop and maintain Lakehouse and Warehouse solutions in Microsoft Fabric.
• Create semantic models and datasets for reporting and analytics.
• Develop interactive dashboards and reports using Power BI.
• Optimize data models and Power BI reports for performance and scalability.
• Collaborate with business stakeholders to gather reporting and analytics requirements.
• Monitor, troubleshoot, and improve data pipelines and reporting solutions.

Skills

Microsoft Fabric

ETL/ELT

Data pipelines

Data warehouse

Power BI

Semantic models

Dashboards

Stakeholder collaboration

Tools

Microsoft Fabric

Job description

Role & responsibilities

• Design, develop, and maintain data pipelines using Microsoft Fabric.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and integration.
• Design and implement data warehouse solutions following best practices.
• Develop and maintain Lakehouse and Warehouse solutions in Microsoft Fabric.
• Create semantic models and datasets for reporting and analytics.
• Develop interactive dashboards and reports using Power BI.
• Optimize data models and Power BI reports for performance and scalability.
• Collaborate with business stakeholders to gather reporting and analytics requirements.
• Monitor, troubleshoot, and improve data pipelines and reporting solutions.