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.
Skills (Must Have):
- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
5+ years of experience in Data Engineering.
3+ years of hands-on Azure Cloud experience.
Experience with large-scale data migration or modernization projects.
Strong knowledge of Azure Data Factory, Databricks, Synapse Analytics, and Data Lake.
Strong SQL development and performance tuning skills.
Experience developing ETL/ELT data pipelines.
Understanding of cloud security and governance principles.
Experience with CI/CD and DevOps practices.
Excellent problem-solving and communication skills.
Skills (Nice to Have):
- Experience in Mainframe modernization programs.
Knowledge of Mainframe technologies such as:
COBOL
JCL
VSAM
DB2
IMS
CICS
Experience with modernization tools and migration frameworks.
Familiarity with event-driven and serverless architectures.
Experience working in enterprise-scale Azure environments.
Azure certifications are highly desirable:
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Administrator Associate