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Gurgaon location and general Data Engineer title raise competition, offset by Guidewire specialization.
Strong Guidewire and insurance-domain data requirements make cross-industry fits difficult.
Explicit 8+ years and mandatory ADF/Snowflake/DBT/Guidewire skills enforce strict candidate filters.
Lead design, development, and delivery of scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake, DBT, and Azure data services focused on insurance and enterprise data platforms.
Manage data integration from Guidewire applications and multiple insurance data sources into cloud-based data environments, ensuring performance, reliability, and compliance.
Provide technical leadership by collaborating with stakeholders, guiding team members, optimizing pipelines, enforcing data governance, and supporting cloud modernization efforts.
8+ years of experience in Data Engineering or Data Integration roles.
Strong hands-on expertise with Azure Cloud Platform, especially Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and cloud-based data integration architectures.
Proven experience with SQL, Snowflake, DBT, and strong knowledge of Guidewire InsuranceSuite data models and integrations (PolicyCenter, ClaimCenter, BillingCenter).
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Experienced in leading enterprise data engineering projects with technical leadership responsibilities in insurance domain data platforms.
Deep expertise integrating Guidewire data and insurance business processes into modern cloud data architectures, particularly on Azure and Snowflake.
Skilled in designing governed, performant data pipelines with strong stakeholder interaction across business and technical teams in cloud-native environments.