Software Engineer

We are looking forward to hire Microsoft Fabric Professionals in the following areas :

Job Description: Data Engineer (Mid-Senior)

Experience Level: 6+ Years (Microsoft Fabric: 1–2 Years)

Role Overview

We are seeking a Data Engineer with 6+ years of experience to design and implement scalable data solutions on Microsoft Fabric. You will be a key technical contributor, responsible for building end-to-end data pipelines, managing OneLake storage, and ensuring the reliability of Lakehouse and Warehouse environments. This role requires a professional who has already transitioned into the Fabric ecosystem and can independently deliver complex data engineering tasks.

Key Responsibilities

• Fabric Pipeline Engineering: Design and develop production-grade ETL/ELT workflows using Fabric Data Factory, Dataflows Gen2, and Notebooks.
• Data Lake Management: Implement and manage OneLake organization and Medallion architecture (Bronze/Silver/Gold) to ensure data quality and performance.
• Advanced Spark Development: Write and optimize PySpark and Spark SQL code for high-volume data processing and transformation.
• Semantic Modeling: Build and maintain Power BI semantic models (Direct Lake / Import) to support enterprise reporting requirements.
• DevOps & Automation: Manage Fabric artifacts using Git integration and deployment pipelines (CI/CD) in Azure DevOps or GitHub.
• Performance Optimization: Conduct performance tuning of Spark clusters and SQL queries to ensure cost-efficient capacity utilization in Fabric.

Collaboration: Partner with Lead Engineers and Architects to implement data governance, security (RLS/OLS), and cataloging within Microsoft Purview.