Data Engineer

About the role

Design, build, and manage end‑to‑end data pipelines to integrate data from multiple sources such as policy administration, claims, finance, and CRM systems. Develop and maintain data storage solutions including data warehouses and data lakes, ensuring data quality, consistency, and usability.

Key responsibilities

• Design, build, and manage end‑to‑end data pipelines integrating data from policy administration, claims, finance, and CRM systems.
• Develop and maintain data storage solutions such as data warehouses and data lakes.
• Clean, transform, and structure raw data to ensure quality, consistency, and usability.
• Collaborate with business units, analysts, and data scientists to understand data needs and deliver reliable data solutions.
• Optimize data workflows for performance, scalability, and cost‑efficiency.
• Monitor, troubleshoot, and improve data pipelines to ensure minimal downtime.
• Implement data security, privacy, and governance practices in line with company policies and industry regulations.
• Support reporting, analytics, and dashboarding needs by ensuring timely and accurate data availability.
• Document data flow processes, architecture, and system changes.

Required profile

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong experience with ETL/ELT tools and processes.
• Proficient in SQL, Python, or other scripting languages.
• Experience with relational databases (SQL Server, MySQL, etc.) and data warehouse solutions.
• Familiarity with cloud data platforms (e.g., AWS, Azure) is a plus.
• Knowledge of data security and privacy best practices, especially in the insurance or financial sector.
• Strong problem‑solving, communication, and collaboration skills.

Required skills

• SQL
• Python
• ETL/ELT tools
• Relational databases (SQL Server, MySQL)
• Data warehousing
• Data lakes
• AWS
• Azure