Data Engineer / Data Architect

About the role

Design and optimize cloud based data platforms that power analytics and decision making for a global property and casualty insurance business using AWS PySpark Python and Databricks within a hybrid work model ensuring resilient data pipelines reliable governance and scalable architectures that enable accurate risk assessment and faster claims processing.

What you'll do

• Design and implement scalable data architectures on AWS that support end to end data flows for property and casualty insurance underwriting pricing claims and policy…
• Build robust PySpark and Python based data pipelines in Databricks that ingest transform and curate structured and semi structured insurance data from multiple internal…
• Optimize Databricks workflows and Spark jobs to achieve predictable performance cost efficiency and reliability for large volumes of policy premium exposure and claims…
• Develop reusable data models and canonical data sets that standardize property and casualty insurance entities such as policies coverages claims and reinsurance treaties…
• Establish and maintain data quality rules data validation checks and reconciliation processes that improve accuracy timeliness and completeness of critical regulatory…

What you need

• 8–12 yrs of experience
• Python
• SQL
• AWS
• ETL
• Spark
• Databricks
• Any graduate

Good to have

• Data modelling
• Test automation
• Actuarial
• Financial reporting
• Operational risk
• Underwriting