Data Engineer

Job Summary:

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).

Build and optimize complex data transformation logic using Azure Databricks (PySpark and SQL).

Lead and execute on-premises to Azure cloud migrations for data platforms, ETL workflows, and applications.

Develop, deploy, and support applications using Azure App Service and Azure Functions.

Design data models and perform query optimization and performance tuning using Azure SQL.

Implement and manage data storage solutions using Azure Data Lake Storage Gen2 (ADLS Gen2) and Delta Lake.

Apply robust data orchestration, scheduling, and error-handling patterns to ensure reliable data processing.

Leverage core Azure services such as VNets, Storage Accounts, Key Vault, and IAM to build secure and scalable cloud solutions.

Monitor, troubleshoot, and optimize data pipelines and Azure resources using appropriate monitoring tools.

Required Skills & Qualifications

Strong hands-on experience with Azure Data Factory (ADF).

Proven expertise in Azure Databricks, including PySpark and SQL-based data transformations.

Hands-on experience in developing and deploying solutions using Azure App Service and Azure Functions.

Solid experience in on-premises-to-Azure migration projects, particularly for data platforms.

Advanced SQL skills, including data modeling, query optimization, and performance tuning in Azure SQL.

Working knowledge of Delta Lake, ADLS Gen2, and modern data lake architectures.

Good understanding of core Azure services and cloud security best practices.

Experience with monitoring and troubleshooting using Azure Monitor and Application Insights.