Azure Data Engineer

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 validation, reconciliation, and testing activities during -migration phases.

Collaboration & Delivery

-Collaborate with enterprise architects, application teams, business analysts, and infrastructure teams.

-Participate in solution design reviews and technical workshops.

-Document technical designs, migration approaches, and deployment procedures.

-Support Agile delivery methodologies and project milestones.

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.

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