Guidewire DataHub & InfoCenter Engineer (Remote)

Zensar Technologies; Denver (CO); Remote; USD 75,000 - 115,000; Full time

Job summary

Zensar Technologies is seeking a Guidewire Data Developer to support data migration, analysis, and validation. This remote role is based in the United States, with focus on Guidewire data across policy, claims, billing, and related domains.

Strong SQL and data troubleshooting skills are essential, and experience with Guidewire Data Studio is preferred. The position emphasizes developing and running complex queries, ensuring data quality, and collaborating with business and data teams to resolve

Qualifications

• Strong Guidewire Query skills with DataHub/InfoCenter experience.
• Solid understanding of Guidewire data models and applications.
• Hands-on data migration experience.
• Advanced SQL and data analysis abilities.
• Experience with Guidewire data tools is a plus.

Responsibilities

• Develop and run complex Guidewire queries for data extraction, analysis, reconciliation, and validation.
• Analyze Guidewire insurance data across policy, claims, billing, and related domains.
• Support end-to-end data migration including extraction, transformation, mapping, cleansing, loading, and reconciliation.
• Investigate data quality issues and perform source-to-target validation.
• Collaborate with business, Guidewire, and data teams to resolve migration issues.
• Create data queries and reports to support migration and validation.

Skills

Guidewire Query

Guidewire DataHub

Guidewire InfoCenter

Data development

SQL

Data analysis

Troubleshooting

Insurance data

Tools

Guidewire Data Studio

Job description

Zensar Technologies is seeking a Guidewire Data Developer to support data migration, analysis, and validation. This remote role is based in the United States, with focus on Guidewire data across policy, claims, billing, and related domains.

Strong SQL and data troubleshooting skills are essential, and experience with Guidewire Data Studio is preferred. The position emphasizes developing and running complex queries, ensuring data quality, and collaborating with business and data teams to resolve