REQUIREMENTS:

Total experience 9 years+
Strong experience in Azure Data Engineering / Data Integration
Deep hands-on expertise in Azure Data Factory (Must Have)
Strong understanding of ETL / ELT concepts (Must Have)
Hands-on experience with ADF pipelines, triggers, datasets, and linked services
Experience with Mapping Data Flows and Integration Runtimes (Self-hosted & Azure)
Strong experience with Azure Data Lake Storage (ADLS Gen2)
Experience integrating on-premise and cloud data sources
Strong SQL skills (Azure SQL / Synapse)
Experience with Azure Synapse Analytics
Familiarity with CI/CD pipelines using Azure DevOps
Understanding of data orchestration, scheduling, and dependency management
Experience with monitoring, logging, and error handling in ADF
Good understanding of performance tuning and cost optimization
Strong problem-solving and communication skills
Good to Have: Java (Strong)

RESPONSIBILITIES:

Architect and build scalable data integration solutions using Azure Data Factory
Design, develop, and maintain ADF pipelines, triggers, datasets, and linked services
Implement ETL / ELT workflows for batch and near real-time data processing
Develop and optimize ADF Mapping Data Flows
Integrate ADF with Azure services like Azure SQL, Synapse, Data Lake, and Blob Storage
Handle performance tuning, monitoring, and cost optimization of pipelines
Implement and manage CI/CD pipelines for ADF using Azure DevOps
Troubleshoot production issues and perform root cause analysis
Define architecture standards, best practices, and reusable frameworks
Mentor and guide data engineers through hands-on support and code reviews
Ensure data reliability, scalability, and high availability
Collaborate with stakeholders to understand data integration requirements

Associate Principal Engineer, Azure Data Factory Architect