Azure Data Engineer

##### Project description

We are seeking an experienced Azure Data Engineer to support a large-scale Mainframe to Azure Cloud PaaS migration program. The ideal candidate will have strong expertise in Azure data services, cloud-native architectures, data integration, and modernization initiatives. This role will work closely with architects, business stakeholders, application teams, and data migration specialists to design, build, and optimize scalable data solutions on the Azure platform.

The engineer will be responsible for migrating legacy data assets from Mainframe environments to Azure-based PaaS services while ensuring data quality, performance, security, and operational excellence.

##### Responsibilities

Cloud Data Engineering & Migration

* Design and implement scalable Azure-based data solutions supporting enterprise modernization initiatives. * Analyze legacy Mainframe data structures, files, and processing workflows. * Develop and execute data migration strategies from Mainframe platforms to Azure Cloud. * Build and optimize ETL/ELT pipelines for data ingestion, transformation, and loading. * Support batch modernization and data integration requirements. * Ensure successful migration of historical and operational data with minimal business disruption. Azure Platform Engineering

* Develop solutions using Azure PaaS services, including: * Azure Data Factory (ADF) * Azure Databricks * Azure Synapse Analytics * Azure Data Lake Storage Gen2 * Azure SQL Database * Azure Functions * Azure Logic Apps * Implement cloud-native data architectures aligned with Azure best practices. -Optimize performance, scalability, and cost efficiency of Azure data -platforms.

Data Management & Governance

* Ensure data quality, integrity, lineage, and governance standards. * Implement security controls following enterprise and regulatory requirements. * Establish monitoring, logging, and operational support processes. -Support data vali