Senior Principal Engineer - Data Engineering
Marsh (company site, opens in a new tab)4+ yrsPuneHybridDirect career pageEst. 30–50 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain complex data pipelines using Python, PySpark, Databricks, and SQL to optimize business processes.
- Build and deploy APIs and advanced custom data models leveraging AI, machine learning, and statistical methods in commercial insurance and risk management.
- Conduct research and deliver data-driven consulting insights related to client risk areas to enhance product offerings and strategies.
Minimum Requirements
- Bachelor’s degree in engineering, Computer Science, Data Science, or related fields.
- Minimum 4 years of experience in Data Engineering, Data Science, AI research, or similar roles.
- Hands-on expertise in Python, PySpark, SQL, Databricks, and complex SQL query writing.
- Hybrid work requirement based in Pune, with at least three days per week onsite.
Ideal Candidate Profile
- Experienced in technical delivery of AI/ML and data engineering solutions within commercial insurance or risk management domains.
- Capable of translating complex data analyses into client-oriented solutions and consulting deliverables.
- Skilled in modern data engineering platforms such as Databricks and familiar with insurance risk modeling concepts.