Senior Data Engineer - Microsoft Fabric & Azure

Acveti · India

We are looking for a Senior Data Engineer – Microsoft Fabric & Azure with 10–15 years of experience in Data Engineering to design, build, and optimize modern cloud data platforms.

The ideal candidate will have strong hands-on experience across Microsoft Fabric and Microsoft Azure , with expertise in building scalable data solutions using Lakehouse, Data Factory, Data Warehouse, Real-Time Intelligence, Azure Synapse, Azure Data Lake Storage Gen2, PySpark, Spark, SQL, and T-SQL.

You will work on modern data platforms that enable organizations to transform complex data into reliable, actionable business insights.

Key Responsibilities

• Design and implement scalable, secure, and high-performance data engineering solutions using Microsoft Fabric and Azure .
• Build and optimize Microsoft Fabric Lakehouse, Data Warehouse, Data Factory, and Real-Time Intelligence solutions.
• Develop robust data ingestion and transformation pipelines using Azure Data Factory and Microsoft Fabric.
• Design and manage data storage solutions using Azure Data Lake Storage Gen2 .
• Build data transformation and processing workloads using PySpark and Spark Notebooks .
• Develop complex SQL and T-SQL queries for data transformation, analysis, and performance optimization.
• Work with Azure Synapse Analytics for large-scale data processing and analytics workloads.
• Implement data integration, orchestration, and transformation pipelines following best practices.
• Optimize data pipelines and workloads for performance, scalability, reliability, and cost efficiency.
• Implement appropriate security, governance, and access controls across cloud data platforms.
• Collaborate with data analysts, BI developers, architects, and business stakeholders to deliver end-to-end data solutions.
• Support Power BI integrations and enable data models and datasets for business intelligence and reporting.
• Implement CI/CD practices for data engineering workloads using Azure DevOps .
• Troubleshoot production data pipelines and resolve performance, reliability, and data quality issues.
• Contribute to data architecture, engineering standards, and modernization initiatives.

Required Skills & Experience

• 10–15 years of professional experience in Data Engineering .
• Strong hands-on experience with Microsoft Fabric .
• Experience with Microsoft Fabric components including:
• Fabric Lakehouse
• Fabric Data Factory
• Fabric Data Warehouse
• Fabric Real-Time Intelligence
• Strong experience with Microsoft Azure data services .
• Hands-on experience with Azure Data Factory .
• Strong experience with Azure Synapse Analytics .
• Experience working with Azure Data Lake Storage Gen2 (ADLS Gen2) .
• Strong hands-on experience with PySpark and Apache Spark .
• Strong SQL and T-SQL development skills.
• Experience designing and optimizing data pipelines and ETL/ELT processes.
• Experience with cloud data architecture, data integration, and data transformation.
• Experience working with Azure DevOps and CI/CD for data engineering workflows.
• Experience with Power BI and supporting analytics/BI workloads.
• Strong understanding of data engineering best practices, performance optimization, scalability, and data quality.

Preferred Skills

• Experience designing enterprise-scale Microsoft Fabric data platforms.
• Experience with Fabric Real-Time Intelligence and real-time data processing.
• Strong understanding of Lakehouse and modern data architecture patterns.
• Experience implementing data governance and security within Azure/Fabric environments.
• Experience with automated deployment and infrastructure management for data platforms.
• Experience working in large-scale cloud migration or data modernization programs.
• Microsoft Azure or Fabric certifications are a plus.

What We're Looking For

• Strong senior-level data engineering expertise with a focus on Microsoft technologies.
• Ability to design and implement enterprise-grade cloud data platforms.
• Strong problem-solving and performance optimization skills.
• Ability to work across data engineering, analytics, BI, and cloud infrastructure teams.
• Strong communication skills and the ability to work with both technical and business stakeholders.
• A continuous-learning mindset with an interest in modern data platforms and Microsoft Fabric.