Azure Data Engineer

Job description

**Job Title- Azure Databricks** **Total Exp - 5 to 12 Years** **Location- Mumbai, Chennai, Pune, Bangalore, Kolkata, Noida, Hyderabad** **Notice Period - Immediate Joiners to 30 Days Only** **Mode- Hybrid** **Job Description** We are looking for an experienced Azure Databricks Engineer with strong expertise in Azure Data Engineering, Python, PySpark, and data pipeline development. The ideal candidate should have hands-on experience designing, developing, and maintaining scalable data processing workflows using Azure cloud services. Key Responsibilities - Design, develop, and maintain data pipelines and data processing workflows on Azure. - Develop and optimize data solutions using Azure Databricks and PySpark. - Build and manage ETL workflows using Azure Data Factory (ADF). - Write efficient Python code for data processing, automation, and debugging. - Work with Azure Data Lake, Azure SQL, and Azure Synapse Analytics for data storage and analytics solutions. - Troubleshoot and optimize data processing jobs for performance and reliability. - Collaborate with cross-functional teams to deliver scalable data engineering solutions. Required Skills & Experience - Strong hands-on expertise in Python with excellent debugging skills. - Extensive experience with Python-based data engineering solutions. - Strong understanding of Azure Data Engineering concepts. - Hands-on experience with: - Azure Data Factory (ADF) - Azure Databricks (ADB) - Python - PySpark - SQL - Experience in building and maintaining data pipelines and data processing workflows on Azure.