Senior Data Engineer - Microsoft Fabric

Sr. Software Engineer - Microsoft Fabric Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

 

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

 

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

 

Job Description: Data Engineer (Mid-Senior) Experience Level: 4+ Years (Microsoft Fabric: 1–2 Years) Role Overview We are seeking a Data Engineer with 4+ 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.

Must-Have Skills

• Experience: 4+ years of overall data engineering experience.
• Microsoft Fabric: 1–2 years of proven, hands-on experience with core Fabric components (Lakehouse, Warehouse, OneLake, and Data Factory).
• Core Technicals: Expert-level SQL and strong proficiency in PySpark.
• Data Architecture: Proven experience implementing dimensional models and Lakehouse patterns.
• Azure Foundations: Solid understanding of ADLS Gen2, Azure SQL, and Key Vault as they integrate with Fabric.
• Modern DevOps: Experience with Git-based version control and automated deployment workflows for data.

Good-to-Have Skills

• Real-Time Intelligence: Experience with KQL or Eventstreams within the Fabric ecosystem.
• Migrations: Previous experience migrating workloads from Azure Synapse or Databricks to Fabric.
• Certifications: Microsoft DP-600 (Fabric Analytics Engineer Associate) or DP-700 (Fabric Data Engineer Associate).
• Governance: Exposure to data lineage and sensitivity labeling within Microsoft Purview.

Soft Skills & Education

• Mindset: A quality-first approach with a strong "bias for action" in solving technical debt.
• Communication: Ability to clearly document technical designs and collaborate in a pod-based team structure.
• Education: Bachelor’s or Master’s degree in Computer Science, IT, or a related Engineering field.

 

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

 

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture

Experience Level

Senior Level