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 solid 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 pipe

📌 Senior Data Engineer – Microsoft Fabric (Varanasi)
🏢 Acveti
📍 Varanasi