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Mid-level generalist cloud/data role with broad required skills and 2-6 year band, raising competition.
Cloud and data engineering skills are transferable but insurance experience preference increases domain specificity.
Explicit 2-6 year requirement plus mandatory AWS, SQL, Python, and CI/CD skills mean moderate filter.
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Design, deploy, and manage cloud infrastructure solutions focused on performance optimization, cost efficiency, security, and compliance.
Collaborate with actuarial, underwriting, finance, and business stakeholders to gather requirements and implement scalable automated data workflows and cloud-enabled modernized analytics platforms.
Lead migration initiatives involving AWS, data warehouses, and reporting tools to improve operational efficiency, scalability, and maintainability.
Bachelor's degree in a relevant field.
2 to 6 years of relevant experience in data analytics, data engineering, or related roles.
Experience with cloud platforms preferably AWS, strong SQL, Python, and data manipulation skills.
Experience working in insurance domain or financial services.
Demonstrates a strong blend of cloud engineering and data engineering expertise with experience in automation of manual processes and migration of analytical assets.
Experienced working closely with actuarial, underwriting, and business stakeholders in insurance or financial services environments.
Familiarity with CI/CD, GitHub, data migration, analytics deployment best practices, and modernization of data platforms.