Description

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

  •  
    • Familiarity with the reinsurance/insurance domain, including risk modeling, claims analysis, and underwriting processes.

Education

Any Graduate