Azure + Fabric

#pwcindia Greetings from PWC we are Azure + Fabric

Experience: 4 -12 Years

Location: Pan India

Required Qualifications: BE/BTECH/ME/MTECH/MCA(3Years)/MBA - (Full-Time

)
Interested candidates please fill below for

m:https://lnkd.in/d-rUtp

YjPlease Send your resume to [email protected]

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Azure Data Engineer + Fab

ric

Job Su

mmaryDetail-oriented and innovative Azure Data Engineer with hands-on experience designing, developing, and optimizing scalable data pipelines and analytics solutions using Microsoft Fabric and Azure cloud ecosystem. Skilled in building end-to-end data workflows leveraging Fabric Data Factory, Data Engineering (Lakehouses), Synapse experiences, and Power BI. Experienced in modeling and managing large datasets using OneLake, Delta Lake, PySpark, and SQL to enable real-time analytics and business intelligence. Adept at collaborating with stakeholders to translate business requirements into secure, high-performance data architectures and automated solutions aligned with enterprise governance and compliance stand

ards.Key Responsibil

• itiesDesign, build, and maintain scalable data pipelines and ETL/ELT workflows using Microsoft Fabric Data Factory, Lakehouses, and Synapse experie
• nces.Develop and manage OneLake-based data architectures, including Delta Lake tables, partitioning, and medallion frameworks to support enterprise analy
• tics.Implement and optimize data transformation logic using PySpark, SQL, and Fabric Notebooks for batch and streaming workl
• oads.Integrate data from on-premise and cloud platforms using Fabric connectors, ingestion frameworks, and orchestration pipel
• ines.Collaborate with analytics teams, Power BI developers, and business stakeholders to enable semantic models, reporting, and self-servic
• e BI.Apply data security, access control, and governance using Purview, workspace roles, lineage tracking, and data classifica
• tion.Implement automation, version control, and CI/CD processes through Git integration, Fabric pipelines, and DevOps pract
• ices.Monitor and troubleshoot data pipelines, optimizing performance, cost, and reliability across development and production environm
• ents.Support enterprise data platform modernization initiatives by migrating legacy data systems to Microsoft Fabric and Azure ecosys

tems.
Preferred Qualifications and Expect

• ationsBachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related
• field.Proven experience with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Pipelines, and Synapse Data Engineering experi
• ences.Strong hands-on experience with Python, SQL, PySpark, and Delta Lake frame
• works.Working knowledge of Microsoft Power BI, semantic models, and data modeling concepts (star schema, dimensional mode
• ling).Experience building enterprise-grade data solutions in Azure services—such as ADF, Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, or Cosm
• os DB.Familiarity with data governance and security practices, including Purview, RBAC, encryption policies, and compliance frame
• works.Experience with Git, Azure DevOps, CI/CD pipelines, and modern deployment methodol