Pune · Mid Level
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Data Extraction
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Analyse and understand legacy mainframe claims data structures and relationships.
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Design and implement repeatable, auditable data extraction processes.
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Extract mainframe data into flat-file formats and securely transfer datasets via SFTP for downstream processing.
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Identify data dependencies, historical data requirements, and migration scope boundaries.
Data Transformation
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Design and develop ETL transformation processes aligned to Guidewire target-state data requirements.
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Define and implement data mapping, conversion rules, and business transformation logic.
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Perform data cleansing, standardisation, enrichment, and validation activities.
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Identify, manage, and resolve data quality issues throughout migration cycles.
Data Loading
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Develop, execute, and optimise data load processes into Guidewire and associated target platforms.
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Support multiple migration rehearsals, and production migration events.
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Optimise ETL processes for performance ensuring processes are scalable, efficient, and reliable.
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Deliver migration activities in line with agreed cutover and deployment timelines.
Data Quality and Reconciliation
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Design and implement automated reconciliation and validation controls.
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Develop exception reporting and migration monitoring dashboards.
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Investigate, analyse, and resolve data discrepancies and reconciliation variances.
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Support business validation, data verification, and migration sign-off activities.
Testing and Migration Support
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Support system, integration, user acceptance, and migration testing activities.
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Troubleshoot ETL defects, data issues, and migration failures.
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Provide production cutover and post-migration support to ensure a stable transition.
Documentation and Governance
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Produce and maintain ETL design documentation, technical specifications, and operational procedures.
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Maintain comprehensive source-to-target mapping and data lineage documentation.
•
Ensure compliance with Santam governance, security, risk, and audit requirements.
•
Adhere to migration standards, controls, and best practices throughout the programme
Data Extraction
•
Analyse and understand legacy mainframe claims data structures and relationships.
•
Design and implement repeatable, auditable data extraction processes.
•
Extract mainframe data into flat-file formats and securely transfer datasets via SFTP for downstream processing.
•
Identify data dependencies, historical data requirements, and migration scope boundaries.
Data Transformation
•
Design and develop ETL transformation processes aligned to Guidewire target-state data requirements.
•
Define and implement data mapping, conversion rules, and business transformation logic.
•
Perform data cleansing, standardisation, enrichment, and validation activities.
•
Identify, manage, and resolve data quality issues throughout migration cycles.
Data Loading
•
Develop, execute, and optimise data load processes into Guidewire and associated target platforms.
•
Support multiple migration rehearsals, and production migration events.
•
Optimise ETL processes for performance ensuring processes are scalable, efficient, and reliable.
•
Deliver migration activities in line with agreed cutover and deployment timelines.
Data Quality and Reconciliation
•
Design and implement automated reconciliation and validation controls.
•
Develop exception reporting and migration monitoring dashboards.
•
Investigate, analyse, and resolve data discrepancies and reconciliation variances.
•
Support business validation, data verification, and migration sign-off activities.
Testing and Migration Support
•
Support system, integration, user acceptance, and migration testing activities.
•
Troubleshoot ETL defects, data issues, and migration failures.
•
Provide production cutover and post-migration support to ensure a stable transition.
Documentation and Governance
•
Produce and maintain ETL design documentation, technical specifications, and operational procedures.
•
Maintain comprehensive source-to-target mapping and data lineage documentation.
•
Ensure compliance with Santam governance, security, risk, and audit requirements.
•
Adhere to migration standards, controls, and best practices throughout the programme
Preferred Experience
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Proven experience delivering large-scale data migration and ETL initiatives.
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Strong understanding of insurance data domains particularly Claims and Policy administration.
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Hands-on experience with Guidewire data migration, integration, and data conversion activities.
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Experience working with legacy mainframe environments, flat-file processing, and secure data transfer mechanisms.
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Strong analytical, troubleshooting, and stakeholder engagement skills.
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