Guidewire Data Engineer Position Available In Fulton, Georgia
Tallo's Job Summary: The Guidewire Data Engineer role in Sandy Springs, Georgia involves developing scalable data pipelines, integrating Guidewire system data into platforms like Databricks and Azure Synapse. Responsibilities include collaborating with stakeholders, ensuring data quality, and optimizing workflows. Qualifications include experience with Guidewire systems, Databricks, Azure tools, data modeling, and ETL processes.
Job Description
Guidewire Data Engineer Georgia, Sandy Springs 04/24/2025 Contract Active
Job Description:
Job Summary
We are seeking a skilled Guidewire Data Engineer to support enterprise data engineering initiatives. This role involves developing and maintaining scalable data pipelines and integrating data from Guidewire systems into modern data platforms such as Databricks and Azure Synapse. The ideal candidate will have a strong background in data engineering within cloud environments and experience working with insurance industry platforms. Key Responsibilities
Design, build, and maintain robust data pipelines using Databricks and Azure.
Integrate and transform data from Guidewire systems for analytical and operational use.
Collaborate with stakeholders to gather data requirements and deliver solutions that align with business needs.
Ensure data quality and integrity through rigorous testing and validation processes.
Optimize data workflows for performance and cost-efficiency in the cloud environment.
Leverage Azure Synapse for advanced data transformation and analytics (if applicable).
Troubleshoot and resolve data integration and pipeline issues. Required Qualifications
Strong experience with Guidewire systems integration.
Proficiency with Databricks and Azure data engineering tools.
Experience building scalable data pipelines in cloud environments.
Solid understanding of data modeling, transformation, and ETL processes. Preferred Qualifications
Hands-on experience with Azure Synapse Analytics.
Prior experience in the insurance domain.
Familiarity with Agile methodologies and DevOps practices in data engineering.
