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About the Role
This role involves modernizing Guidewire operational reporting, migrating from Actuate BIRT to a modern analytics platform based on Microsoft Azure Databricks. Reports and dashboards will be developed and consumed using Microsoft Fabric and Power BI.
Responsibilities
- Lead the modernization of Guidewire operational reporting, ensuring migration from Actuate BIRT to the target analytics platform based on Microsoft Azure Databricks and Microsoft Fabric.
- Design, develop, and implement cloud data pipelines using Databricks Asset Bundles (DAB), Python Wheel components, and data ingestion, transformation, and publication processes.
- Analyze and convert existing Oracle SQL queries and stored procedures into optimized Spark SQL implementations for the Databricks ecosystem.
- Transform business logic historically embedded in BIRT reports into reusable data pipelines supporting certified Gold-tier data products.
- Develop and maintain the analytics layer in Microsoft Fabric, including Fabric Lakehouse, OneLake Shortcuts, Semantic Models, Data Security and Access Controls, and Power BI Reports and Dashboards.
- Establish and promote a modern data architecture that fosters reusability, governance, performance, scalability, and standardization of analytical assets.
- Collaborate closely with business and technology stakeholders to ensure functional alignment between existing Guidewire reports and new analytical solutions.
- Support testing, validation, and deployment activities, ensuring data quality and report accuracy.
- Contribute to best practices, documentation, and continuous improvement initiatives related to data engineering and analytical solution delivery.
Requirements
- Experience with Informatica PowerCenter.
- Experience in utilizing LLMs (Large Language Models) applied to the Software Development Lifecycle (SDLC).
- Strong experience with Azure Databricks, Spark SQL, and cloud data engineering.
- Experience in designing and implementing modern data pipelines and ETL/ELT processes.
- Proficiency in Python and SQL development.
- Experience with Microsoft Fabric, including Lakehouse, Semantic Models, and Power BI.
- Strong understanding of data modeling, analytical architecture, and data governance principles.
- Experience in migrating existing reporting solutions to modern cloud-based analytics platforms.
- Ability to collaborate effectively with business and technical teams in an Agile environment.
- Experience with Actuate BIRT reporting.
- Knowledge of the insurance industry.
- Experience with Oracle databases and report modernization initiatives.
- Familiarity with DevOps and CI/CD practices in Databricks environments.
Skills
- Azure Databricks
- Spark SQL
- Cloud data engineering
- Data pipelines
- ETL/ELT
- Python
- SQL
- Microsoft Fabric
- Lakehouse
- Semantic Models
- Power BI
- Data modeling
- Analytical architecture
- Data governance
- Agile methodologies
- Informatica PowerCenter
- LLMs
- Oracle SQL
- Databricks Asset Bundles (DAB)
- Python Wheel
- DevOps
- CI/CD
Location
- Canada
Work Type
- Full-time
Experience Level
- Experienced
Salary/Compensations
- $110,000 - $120,000 per year
About the Company
- A major Canadian financial services organization offering a wide range of insurance, investment, and financial planning products.