Azure Data Engineer

Durapid Technologies Private Limited; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Durapid Technologies Private Limited is seeking an Azure Data Engineer with Microsoft Fabric expertise to design, develop, and optimize cloud-based data solutions. The ideal candidate will build ETL/ELT pipelines, data warehousing, and analytics using Azure services and Fabric.

You will develop notebooks in Python/PySpark, optimize SQL queries, and collaborate with cross-functional teams to deliver scalable Lakehouse and data integration solutions.

Qualifications

• Hands-on experience building ETL/ELT pipelines in Azure.
• Strong data warehousing and analytics solution design using Azure services.
• Proficient in Python/PySpark for data processing and notebooks.
• Experience with data quality, governance, and security in cloud data platforms.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric.
• Build and optimize Lakehouse, Data Warehouse, and OneLake solutions.
• Develop notebooks using Python/PySpark and optimize SQL/T‑SQL queries.
• Integrate data from multiple sources and ensure data quality and governance.
• Collaborate with cross-functional teams to deliver scalable data solutions.

Skills

Microsoft Fabric

Azure Data Factory

Azure Synapse Analytics

SQL / T-SQL

Python / PySpark

Azure SQL Database

Azure DevOps & Git

Education

DP-203 certification

Microsoft Fabric Certification

Tools

Databricks

Power BI integration

Job description

Azure Data Engineer with expertise in Microsoft Fabric to design, develop, and optimize cloud-based data solutions. The ideal candidate should have hands‑on experience in building ETL/ELT pipelines, data warehousing, and analytics solutions using Azure services and Microsoft Fabric.

Key Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric.
• Build and optimize Lakehouse, Data Warehouse, and OneLake solutions.
• Develop notebooks using Python/PySpark and optimize SQL/T‑SQL queries.
• Integrate data from multiple sources and ensure data quality, security, and governance.
• Collaborate with cross‑functional teams to deliver scalable data solutions.

Required Skills

• Microsoft Fabric (Lakehouse, OneLake, Data Factory, Notebooks)
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• SQL / T‑SQL
• Python / PySpark
• Azure SQL Database
• Azure DevOps & Git

Preferred

• Power BI integration
• Databricks exposure
• DP‑203 or Microsoft Fabric Certification
• Microsoft Fabric
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• SQL / T‑SQL
• Python / PySpark