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Fabric Data Engineer

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Onsite

Fabric Data Engineer

Nice Software Solutions Pvt. Ltd.

Fabric Data Engineer

Skills

SQL QueriesData EngineeringPythonDatabricksData AnalysisMachine LearningAICompliancePower BIAzure

4 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Onsite

Published on:

18 October 2026

What they need


Fabric Data Engineer

Location: Pune / Nagpur

Experience: 4–7 Years

About the Role: We are seeking a skilled Fabric Data Engineer to design, develop, and maintain enterprise-scale data solutions using Microsoft Fabric and Azure Data Services. The ideal candidate will have a solid background in cloud data engineering, data modeling, and analytics, with a focus on implementing scalable and efficient data platforms. This role involves collaborating with stakeholders, supporting data modernization initiatives, and ensuring data governance and security.

Responsibilities:

  • Develop and implement end-to-end data solutions leveraging Microsoft Fabric and Azure technologies.
  • Build scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions.
  • Participate in data modernization and migration projects from legacy systems to Azure Fabric.
  • Design data models, integration patterns, and governance frameworks to ensure data quality and security.
  • Collaborate with business teams to gather requirements and translate them into technical solutions.
  • Optimize data workflows for performance, scalability, and reliability.
  • Support data governance, data security, and compliance initiatives.
  • Assist in reviewing code and architecture designs to ensure best practices.
  • Work closely with project teams to deliver solutions within timelines and quality standards.

Required Skills

  • 4 to 8 years of experience in Data Engineering, Data Warehousing, or related fields.
  • Hands-on experience with Microsoft Fabric and Azure Data Services.

Proficiency in:

  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Azure Synapse Analytics
  • Power BI
  • SQL and Data Modeling
  • ETL/ELT Design and Development
  • Understanding of Lakehouse architecture and modern data ecosystems.
  • Experience in performance tuning, data quality, and data governance.
  • Good stakeholder communication and collaboration skills.

Preferred Skills

  • Experience with Databricks, Spark, and Python.
  • Knowledge of AI/ML and advanced analytics.
  • Familiarity with Agile methodologies.
  • Azure and Microsoft Fabric certifications are a plus.
  • Experience working with global teams and clients.

Why Join Us?

  • Opportunity to work on enterprise-scale data engineering projects.
  • Collaborative work environment with excellent growth opportunities.

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