Microsoft Fabric Data Engineer

emagine; Maharashtra; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

emagine is seeking a Microsoft Fabric Data Engineer to lead the design and development of a scalable, cloud-native data platform on Microsoft Azure, integrating data from multiple enterprise systems to build a unified data ecosystem.

The role emphasizes strong Microsoft Fabric and Azure Technologies experience, Python and SQL proficiency, and the ability to implement efficient data models with real-time processing capabilities.

Qualifications

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

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.

Skills

Azure Data Engineering

Microsoft Azure

Microsoft Fabric

Azure Functions

Docker

Python

SQL

Apache Kafka

Data Modeling

Tools

SAP BW

SAP HANA

Salesforce

CI/CD

GitHub

Job description

Summary

The role of a

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