This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Experience: 6+ yrs

Location: Remote (India)

Job Type: Full-time

We are looking for an experienced Microsoft Fabric Engineer to design, develop, and optimize scalable data platforms and modern cloud-based data solutions. This role is ideal for professionals with solid expertise in Microsoft Azure Fabric, Databricks, Azure data services, and enterprise data engineering, along with a passion for building reliable data pipelines and leveraging AI-assisted development to improve engineering productivity.

As a Data Engineer, you will take ownership of the complete data engineering lifecycle—from solution design and implementation to production support and continuous optimization. You will collaborate closely with business stakeholders, architects, analysts, and development teams to transform complex data requirements into scalable, high-performance data solutions that enable analytics and informed business decision-making.
Requirements
Key Responsibilities
- Design, develop,



and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
- Build and optimize robust ETL/ELT processes for structured, semi-structured, and unstructured data across enterprise environments.
- Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions.
- Develop and maintain reliable data integration workflows that ensure data accuracy, consistency, and availability.
- Optimize data processing pipelines for performance, scalability, cost efficiency, and operational reliability.
- Leverage AI-assisted development tools and modern engineering practices to accelerate solution delivery and improve code quality.
- Monitor, troubleshoot, and resolve production data pipeline issues while proactively identifying opportunities for automation and optimization.
- Work closely with architects, ana

📌 Microsoft Fabric Engineer (India)
🏢 Weekday`
📍 India