Job Summary

A Mainframe Data Migration Engineer is responsible for planning, designing, executing, and validating the migration of data from legacy mainframe systems to modern platforms, ensuring data integrity, security, and business continuity throughout the transformation process. The role involves supporting mainframe modernization initiatives, including DB2-to-cloud migrations, data transformation, validation, and seamless platform transitions.

Responsibilities

- Assess and analyze legacy mainframe data sources, including DB2, VSAM, IMS DB, GDG, sequential files, and flat files, to define migration requirements and strategies.
- Design and implement end-to-end data migration solutions from mainframe environments to Google Cloud Platform (GCP), ensuring data integrity, security, and business continuity.
- Develop and optimize data extraction, transformation, cleansing, validation, and loading processes using GCP services such as Cloud Storage, Dataflow, Dataproc, Cloud Composer, and Pub/Sub.
- Perform data profiling, mapping, reconciliation, and quality validation while converting legacy data models into cloud-native architectures and modern data platforms.
- Build automation utilities and migration frameworks using Python, Shell scripting, and related technologies to streamline large-scale migration activities.
- Collaborate with application, infrastructure, cloud, and business teams to execute modernization initiatives, troubleshoot complex migration challenges, support testing, and ensure compliance with governance and regulatory requirements.

Required Technical and Professional Expertise

- 10+ years of hands-on experience in IBM Mainframe technologies, including z/OS, JCL, COBOL, DB2, VSAM, IMS DB, and CICS, with robust expertise in batch processing, file management, and legacy data architectures.
- Proven expertise in Google Cloud Platform (GCP) services, including Cloud Storage,



Dataflow, Dataproc, IAM, and Cloud Monitoring for data migration and modernization initiatives.
- 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 to ensure accurate and reliable migrations.
- Proficiency in SQL, database concepts, Python, Shell Scripting, or Java for developing migration utilities, automation scripts, and integration solutions.
- Knowledge of data integration frameworks, API-based data exchange mechanisms, and ETL/ELT processes supporting large-scale enterprise transformations.
- Familiarity with CI/CD, DevOps practices, security controls, and governance standards, ensuring efficient, scalable, and compliant migration delivery.

Preferred Technical and Professional Experience

- Experience delivering large-scale enterprise modernization and digital transformation programs across complex mainframe environments.
- Proven hands-on experience in mainframe-to-cloud migration projects, including data migration, application modernization, and cloud adoption initiatives.
- Familiarity with Agile and Scrum methodologies, with experience working in cross-functional and iterative delivery teams.
- Strong understanding of data governance, security, compliance, and regulatory standards to ensure secure and compliant migration outcomes.
- Experience with industry-leading migration and integration tools such as IBM DataStage and Google Database Migration Service (DMS) to support large-scale data movement and modernization initiatives.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Mainframe Data Migration Engineer (Pune)
🏢 Kyndryl
📍 Pune