Job Description: Microsoft Fabric Data Engineer

Location: Bangalore
Work Model: Hybrid – 2 days onsite per week

About the Role

We are looking for a skilled Microsoft Fabric Data Engineer to join a growing Data & AI team and contribute to the development of a up-to-date enterprise data platform built around Microsoft Fabric and Azure.

The successful candidate will design, develop, test, and maintain scalable data pipelines and data solutions that support business intelligence, advanced analytics, AI, and enterprise reporting. You will work closely with Data Architects, Data Product Owners, analytics teams, and business stakeholders to deliver reliable, high-quality, and secure data solutions.

Key Responsibilities

• Design, develop, test, and maintain scalable data pipelines and data products using Microsoft Fabric and Azure technologies.
• Build metadata-driven data ingestion and transformation solutions for enterprise analytics.
• Develop and optimise solutions across Microsoft Fabric, including Lakehouse, Data Warehouse, Data Engineering, Real-Time Analytics, and Semantic Models.




• Build and maintain data pipelines, notebooks, transformations, dataflows, and orchestration processes.
• Implement data engineering solutions using appropriate ETL/ELT patterns and reusable frameworks.
• Apply data quality checks, monitoring, and validation throughout the data lifecycle.
• Ensure data lineage, metadata capture, cataloguing, security, and governance are incorporated into engineering solutions.
• Collaborate with business stakeholders and analytics teams to translate requirements into technical solutions.
• Contribute to CI/CD, DevOps, automation, and continuous improvement initiatives.
• Maintain technical documentation and follow engineering standards, testing practices, and version control processes.
• Work within an Agile delivery environment, contributing to sprint planning, backlog refinement, estimation, and delivery.

Essential Skills and Experience

• Experience

📌 Data Engineer (Bengaluru)
🏢 Careerwise
📍 Bengaluru