Mainframe Data Migration Engineer

Kyndryl

. Plan, design, execute, and validate data migrations from legacy mainframe systems to modern platforms .

Posted 11/1/2026full-timeBangalore • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in planning and executing data migrations from legacy mainframe systems to Google Cloud Platform, with a strong focus on data quality, governance, and compliance. Proficient in utilizing Python, SQL, and various GCP services to develop and optimize migration solutions.

Highest-signal resume keywords

IBM Mainframe TechnologiesGoogle Cloud Platform ServicesData Migration PlanningPython ProgrammingData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DB2VSAMIMS DBCOBOLJCLSQLData ExtractionData TransformationETL/ELT ProcessesBatch Processing

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Google Cloud PlatformIBM DataStageGoogle Database Migration ServiceCloud StorageDataflowDataprocIAMCloud Monitoring

Industry Keywords

Data MigrationLegacy Data ArchitecturesDigital TransformationAgileScrumData Quality AssessmentGovernance StandardsSecurity Controls

Tech Stack

Tools & technologies

CloudETLGoogle Cloud PlatformJavaPythonShell ScriptingSQL

About the role

Key responsibilities & impact

Plan, design, execute, and validate data migrations from legacy mainframe systems to modern platforms
Assess and analyze DB2, VSAM, IMS DB, GDG, sequential file, and flat file data sources
Define migration requirements and strategies
Design and implement end-to-end migration solutions from mainframe environments to Google Cloud Platform
Develop and optimize extraction, transformation, cleansing, validation, and loading processes using GCP services
Perform data profiling, mapping, reconciliation, and quality validation
Convert legacy data models into cloud-native architectures and modern data platforms
Build automation utilities and migration frameworks using Python, Shell scripting, and related technologies
Collaborate with application, infrastructure, cloud, and business teams on modernization initiatives
Troubleshoot migration challenges, support testing, and ensure governance and regulatory compliance

Requirements

What you’ll need

10+ years of hands-on experience in IBM Mainframe technologies, including z/OS, JCL, COBOL, DB2, VSAM, IMS DB, and CICS
Strong expertise in batch processing, file management, and legacy data architectures
Proven expertise in Google Cloud Platform services, including Cloud Storage, Dataflow, Dataproc, IAM, and Cloud Monitoring
Experience in data extraction, conversion, mapping, transformation, and reconciliation from legacy mainframe environments to cloud-native platforms
Strong understanding of migration planning, execution, validation, rollback strategies, and data quality assessment
Proficiency in SQL, database concepts, Python, Shell Scripting, or Java
Knowledge of data integration frameworks, API-based data exchange mechanisms, and ETL/ELT processes
Familiarity with CI/CD, DevOps practices, security controls, and governance standards
Experience delivering large-scale enterprise modernization and digital transformation programs
Hands-on experience in mainframe-to-cloud migration projects
Familiarity with Agile and Scrum methodologies
Strong understanding of data governance, security, compliance, and regulatory standards
Experience with IBM DataStage and Google Database Migration Service (DMS)

Benefits

Comp & perks

Flexible, supportive environment
Continuous learning opportunities
Access to industry-recognized certifications
Exposure to large-scale transformation programs across industries
Hybrid-friendly culture
Be Well programs supporting financial, mental, physical, and social health
Personalized development goals and continuous feedback
Certifications with Microsoft, Google, and Amazon
Coaching and hands-on learning experiences