LEAD DATA ENGINEER – MICROSOFT FABRIC & AZURE
HSO India Pvt. Ltd.
Experience

10+ Years

Work Mode

Remote / Work From Home

Notice Period

Immediate to 30 Days

Employment Type

Full-Time

Salary

Best in the Market

About the Role
HSO is looking for an experienced Lead Data Engineer with 10+ years of experience in designing, developing, and implementing scalable data engineering solutions. The ideal candidate will have solid hands-on expertise in Microsoft Fabric and Microsoft Azure, along with experience in modern data platforms, data pipelines, data warehousing, ETL/ELT, and cloud-based data engineering.
Microsoft Fabric and Microsoft Azure are MANDATORY requirements for this position.
Key Responsibilities
Lead the design and development of enterprise-grade data engineering solutions using Microsoft Fabric and Azure.
Design scalable and reliable data pipelines for batch and real-time data processing.
Develop and optimize ETL/ELT processes using modern Azure and Microsoft Fabric technologies.
Work extensively with Microsoft Fabric Data Factory, Lakehouse,



Data Warehouse, OneLake, and related Fabric components.
Design and implement solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, and other Azure data services.
Develop data ingestion, transformation, cleansing, and integration processes from multiple source systems.
Implement data models and data warehouse solutions supporting analytics and reporting requirements.
Optimize data pipelines, queries, storage, and processing performance.
Establish data quality, security, governance, and monitoring practices.
Collaborate with Data Architects, Solution Architects, BI Developers, and business stakeholders.
Provide technical leadership and mentoring to data engineering teams.
Participate in solution design, estimation, code reviews, troubleshooting, and production support.
Mandatory Skills – Microsoft Fabric
Strong hands-on experience with Microsoft Fabric Data Factory.

📌 HSO India | Technical Data Lead
🏢 HSO Group
📍 India