Senior Engineer/Senior Azure Data Engineer - Azure Synapse, Databricks & Power B

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.