Designs, develops and maintains data pipelines within the Guidewire insurance platform, specifically utilizing the Guidewire DataHub/InfoCenter data visualization tools, to Extract, Transform, and Load (ETL) data for analysis and reporting purposes
Monitors and troubleshoots issues related to Guidewire DataHub/InfoCenter, and optimizes performance for data loading and extraction processes
Designs and develops complex data pipelines, ETL (Extract, Transform, Load) processes and decision support systems' data procedures
Implements data solutions to make high-quality data available for analytics and reporting
Collaborates with data analysts, architects, engineers and business stakeholders to understand data requirements
Ensures data quality and consistency by implementing data cleansing and validation processes, identifying and resolving data issues, and creating data reconciliations
Optimizes data workflows and processing for performance, scalability, and reliability
Monitors data pipelines and proactively addresses issues to minimize downtime and disruptions
Works with stakeholders to provide assistance for data-related technical issues
Documents data engineering processes, data lineage, and data dictionaries
Stays current with data engineering technologies, best practices, and industry trends
Creates, maintains and updates various knowledge articles such as Standard Operating Procedures, Knowledge Base Articles, FAQ, Design and Configuration documents
Requirements
Qualifications:
Must be proficient in Guidewire DataHub/InfoCenter 9.x and10.x , including data mapping, data quality rules, and data transformation logic
Strong knowledge of Guidewire PolicyCenter/BillingCenter/ClaimCenter data models required
Bachelor's degree in Computer Science, Information Technology, or a related field
3+ years of experience in data engineering and management
Strong knowledge of SQL and SQL programming. SQL Server-specific knowledge preferred
Extensive hands-on experience on SAP BODS ETL tools with design and aministration required
Strong knowledge of Guidewire PolicyCenter/BillingCenter/ClaimCenter data models required
Strong SQL skills to query and manipulate data within the Guidewire environment
Knowledge of Informatica and Snowflake and P&C Insurance preferred
Proficiency in data processes and knowledge of data models
Strong knowledge of data engineering technologies and tools, including data lakes, data warehouses, and cloud-based solutions
Knowledge of Microsoft Office products (Excel, Word, Visio, PowerPoint)
Knowledge of techniques for recognizing, anticipating, and resolving organizational, operational, or process problems, ability to apply this knowledge appropriately to diverse situations
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