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.
Must-Have Skills:- 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.
Preferred Skills:- 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.