Senior Engineer/Senior Azure Data Engineer Azure Synapse, Databricks & Power BI
Macpower Digital Assets Edge Private Limited
Job Description
Job Description
Job Summary: We are looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake (Gen1/Gen2) , Data Factory , Databricks , Synapse Analytics , and Power BI , with a strong understanding of data streaming, data warehousing, and security components in Azure. This role requires a hands-on professional who can build scalable, secure, and high-performing data platforms that drive analytics and business insights.
Job Locations: Feasterville-Trevose, Pennsylvania OR Rockville, Maryland Key Responsibilities:
- Design and develop robust data pipelines using Azure Data Factory and Azure Databricks .
- Work with streaming data processing using Spark clusters in Azure Databricks.
- Manage and utilize Azure Data Lake Gen1/Gen2 , Blob containers , and Azure SQL Server for data storage and processing.
- Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics .
- Implement secure data access and management using Azure Key Vault and Azure Active Directory .
- Integrate event-driven architecture using ESB , Event Grid , and Azure Functions .
- Work with Cosmos DB for NoSQL database solutions within cloud-native applications.
- Develop and publish interactive dashboards and analytics reports using Power BI .
- Ensure security, compliance, and performance of data infrastructure.
- Strong experience with:
- Azure Data Lake Gen1/Gen2
- Azure Data Factory
- Azure Databricks (including Spark clusters)
- Azure Synapse Analytics
- Azure SQL Server , Cosmos DB , Blob Storage
- Azure Key Vault , Azure Active Directory
- Azure Functions , Event Grid , ESB
- Mandatory experience with Power BI for analytics and dashboard creation.
- Experience in building end-to-end data pipelines for big data and analytics .
- Knowledge of data governance and data security best practices in Azure.
- Familiarity with DevOps for Data Engineering and automation of deployments.
Vacancy posted 3 days ago
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