Skills and Qualifications:
- Educational Background
- Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.
- Technical Skills
- Proficiency in Azure data services (e.g., Azure SQL Database, Azure Data Factory, Azure Cosmos DB, Azure Blob Storage).
- Hands-on experience with PySpark/Python, SQL
- Strong experience with SSIS.
- Solid understanding of Change Data Capture (CDC) techniques for incremental data processing.
- Familiarity with CI/CD tools such as DevOps.
- Familiarity in Data Fabric technologies and architectures and Azure data lake.
- Familiarity in Power BI for creating dynamic dashboards and reports.
- Familiarity with restful API and API integrations.
- Data Management: Strong knowledge of data management, data integration, and ETL processes.
- Leadership Skills: Proven experience in leading and managing a team of data engineers. Ability to handle multiple tasks and meet deadlines in a dynamic environment.
- Analytical Skills: Excellent analytical and problem-solving skills to transform raw data into actionable insights.
- Communication: Strong communication skills to effectively collaborate with stakeholders and team members.
Industry Knowledge
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- Familiarity with the reinsurance/insurance domain, including risk modeling, claims analysis, and underwriting processes.