Back
Mid-level cloud/data role in a metro with generalist skills and a common title increases competition.
Core cloud and data engineering skills transfer well, though insurance/actuarial preference increases domain specificity.
Explicit 2–6 years plus AWS, SQL, Python, CI/CD and migration skills make shortlisting moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, deploy, and manage cloud-based data infrastructure and automated workflows supporting actuarial, underwriting, finance, and business analytics.
Collaborate with multiple stakeholders to translate analytical requirements into scalable technical solutions, including migration of data assets and modernization of analytics platforms.
Optimize cloud infrastructure for performance, cost, security, and compliance while driving continuous improvement to automate manual processes and enhance data reliability.
Bachelor’s degree in a relevant field with 2-6 years of experience in data analytics, data engineering, or related roles.
Experience with cloud platforms, preferably AWS, including cloud migration and cloud transformation initiatives.
Strong skills in SQL, Python, and data manipulation; familiarity with CI/CD and analytics deployment using tools such as GitHub.
Experience in the insurance or financial services domain.
Demonstrates expertise in building and optimizing cloud-enabled data pipelines and automated workflows within actuarial or insurance analytics contexts.
Experienced in migrating and modernizing data analytics assets across platforms, with knowledge of platform scalability and maintainability improvements.
Comfortable collaborating across technical and business teams such as actuarial, underwriting, and finance to address complex data and cloud infrastructure needs.