Mainframe COBOL Developer for Cloud Migration and Data Lake

Capgemini; Chicago (IL); On-site; USD 90,000 - 119,000; Full time

Benefits offered by this job

PTO

Medical/Dental/Vision insurance

401(k)

Life and disability insurance

Job summary

Capgemini is seeking an experienced Mainframe/COBOL Developer to support a critical legacy insurance platform (CPS) and aid data preparation for migration to Google Cloud Platform. You will extract, analyze, transform and validate data from mainframe systems for Data Lake consumption and CPS modernization efforts.

The role requires expertise in COBOL, JCL, VSAM, DB2, and large-scale data transformations, with a focus on data quality and conversion across migration lifecycles.

Qualifications

• 7+ years of experience in Mainframe Development.
• Strong hands-on experience with COBOL, JCL, VSAM, DB2 and flat file processing.
• Experience analyzing and transforming large volumes of legacy data.
• Experience with COBOL Copybooks and multiple redefined copybooks.
• Solid understanding of data migration and conversion methodologies.
• Experience with data validation and reconciliation activities.

Responsibilities

• Analyze and process mainframe flat files and COBOL copybooks, including complex redefined structures.
• Extract, unpack, transform, and validate data for ingestion into GCP and Data Lake environments.
• Create data mapping, reconciliation, and validation documentation.
• Support data migration, conversion, and testing activities.
• Assist in modernization and migration of legacy CPS applications to GCP.
• Troubleshoot data quality and conversion issues throughout migration lifecycle.

Skills

COBOL

JCL

VSAM

DB2

Flat file processing

COBOL Copybooks

Data migration

Tools

COBOL Copybooks

Data Lake

ETL

Job description

Capgemini is seeking an experienced Mainframe/COBOL Developer to support a critical legacy insurance platform (CPS) and aid data preparation for migration to Google Cloud Platform. You will extract, analyze, transform and validate data from mainframe systems for Data Lake consumption and CPS modernization efforts.

The role requires expertise in COBOL, JCL, VSAM, DB2, and large-scale data transformations, with a focus on data quality and conversion across migration lifecycles.