Microsoft Fabric Engineer Immediate Joiner - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Microsoft Fabric Engineer (Immediate Joiner) based in India.

This role offers the opportunity to design and build modern enterprise data platforms using cutting-edge cloud technologies. The position focuses on developing scalable data solutions that enable analytics, automation, and smarter business decisions. You will work across the full data engineering lifecycle, from architecture and development to optimization and production support. The role involves collaboration with business stakeholders, architects, analysts, and engineering teams in a dynamic environment. You will contribute to improving data reliability, performance, governance, and operational efficiency through innovative engineering practices. This opportunity is ideal for an experienced data professional passionate about Microsoft Fabric, Azure technologies, and AI-assisted development.

Accountabilities:

The Microsoft Fabric Engineer will take ownership of designing, developing, and optimizing scalable data solutions that support enterprise analytics and business intelligence initiatives. The role requires strong technical expertise, problem-solving abilities, and the ability to collaborate across multiple teams to deliver reliable and high-performing data platforms.

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
• Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured enterprise data.
• Translate business requirements into scalable technical solutions by collaborating with stakeholders and technical teams.
• Develop reliable data integration processes that ensure accuracy, consistency, and availability of data.
• Optimize data pipelines for performance, scalability, cost efficiency, and operational reliability.
• Use AI-assisted development tools and modern engineering practices to improve productivity and code quality.
• Monitor, troubleshoot, and resolve production data pipeline issues while identifying automation opportunities.
• Collaborate with architects, analysts, developers, and cross-functional teams throughout the delivery lifecycle.
• Implement best practices around data engineering, governance, documentation, testing, and operational support.
• Ensure project deliverables meet quality standards, timelines, and business objectives while proactively managing risks.

Requirements:

The ideal candidate is an experienced Data Engineer with strong expertise in Microsoft cloud technologies, enterprise data platforms, and scalable data engineering practices. They should have strong analytical abilities, technical ownership, and the ability to work effectively with distributed teams.