Microsoft Fabric Data Engineer

Summary

The role of a

Microsoft Fabric Data Engineer

is to lead the design and development of a scalable, cloud-native data platform on

Microsoft Azure

while integrating data from various enterprise systems to build a unified data ecosystem.

• Responsibilities:

• Design and implement automated data pipelines integrating multiple enterprise systems using Azure technologies.
• Develop efficient data models across diverse business domains to support analytics and AI-driven insights.
• Implement data governance frameworks, optimize pipeline performance, and ensure data security.
• Prepare clean datasets ready for consumption by BI and AI/ML models.
• Document technical details and conduct handover sessions to facilitate knowledge transfer and sustainability.

• Must Haves:

• 7+ years of experience in Data Engineering, particularly with Microsoft Azure.
• Strong expertise in Microsoft Fabric, Azure Functions, and Docker Containers.
• Proficient in Python and SQL.
• Experience with Apache Kafka for real-time data processing.
• Understanding of data modeling and multi-source data integration.

• Nice to Haves:

• Experience with SAP BW, SAP HANA, and Salesforce.
• Familiarity with CI/CD processes and GitHub.
• Knowledge of data governance and security practices.
• Experience with dimensional and relational data modeling techniques.

• Other Details:

• Timezone: CET

• Working Mode: Hybrid (3 days/week in office)

• Location: Koregaon Park Pune

• 7+ years of experience in Data Engineering, particularly with Microsoft Azure
• Strong expertise in Microsoft Fabric, Azure Functions, and Docker Containers
• Proficient in Python and SQL
• Experience with Apache Kafka for real-time data processing
• Understanding of data modeling and multi-source data integration
• Experience with SAP BW, SAP HANA, and Salesforce
• Familiarity with CI/CD processes and GitHub
• Knowledge of data governance and security practices
• Experience with dimensional and relational data modeling techniques