Sr Data Architect with Guidewire
Sr Data Architect with Guidewire
Posted on :
22-10-2024
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Job Description
Responsibilities:
Technical Skills:
- Guidewire CDA Integration: Utilize Guidewire Cloud Data Access (CDA) to extract transform and load (ETL) Guidewire data into downstream systems ensuring data availability for reporting and analytics.
- Data Pipelines & ETL Development: Design build and maintain scalable and efficient ETL pipelines that integrate Guidewire data with data warehouses data lakes and other enterprise systems.
- Data Modeling & Architecture: Work closely with Data Architects to develop optimize and manage Guidewire data models and schema ensuring high performance and scalability.
- Cloud Integration: Implement cloudbased data engineering solutions using platforms like Azure ensuring smooth integration of Guidewire data with cloud services.
- Data Quality & Governance: Ensure data integrity accuracy and compliance with data governance standards across all Guidewirerelated data pipelines and integrations.
- Performance Tuning & Optimization: Optimize data processing workflows and queries to ensure high performance minimizing delays in data availability.
- Collaboration: Collaborate with business analysts data architects and other IT teams to translate business requirements into effective data engineering solutions.
- Automation: Build and maintain automation processes for regular data loads ensuring reliable data ingestion and processing with minimal manual intervention.
- Documentation & Best Practices: Maintain clear documentation of data engineering processes data flows and pipeline architecture while adhering to industry best practices.
Technical Skills:
- 10 years of experience in data engineering or a similar role.
- 3 years of experience with Guidewire Insurance Suite (PolicyCenter BillingCenter ClaimCenter).
- 2 years of handson experience with Guidewire Cloud Data Access (CDA) for data extraction and integration.
- Proven experience in building ETL pipelines and integrating Guidewire data with cloudbased and onpremises systems.
- Strong SQL and PL/SQL skills for querying and transforming Guidewire data.
- Proficiency with data integration and ETL tools such as Informatica PySpark etc.
- Experience with Azure cloud platforms for data storage processing and integration.
- Familiarity with big data technologies and modern data architecture.
- Handson experience with APIs and microservices for data integration.
- Knowledge of version control systems (e.g. Git) and CI/CD practices for automating data workflows.
Employment Type
Full Time
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