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Sr. Software Engineer - Microsoft Fabric

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Sr. Software Engineer - Microsoft Fabric

YASH Technologies

Sr. Software Engineer - Microsoft Fabric

Skills

SQL QueriesData EngineeringDatabricksGitData AnalysisGitHubPySparkPower BIAzure

2 months ago

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Important information


Location:

Maharashtra, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


Date: Aug 26, 2026

Job Requisition Id: 66054

Location:
Pune, MH, IN

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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: 5+ Years (Microsoft Fabric: 1–2 Years)

Role Overview

We are seeking a Data Engineer with 5+ 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

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