Senior Principal Engineer - Data Engineering
Marsh (company site, opens in a new tab)4+ yrsPuneHybridDirect career pageEst. 12–20 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain complex data pipelines and deploy APIs using Python, PySpark, SQL, and Databricks to optimize business strategies.
- Create and implement advanced AI, machine learning, predictive modeling, and natural language processing techniques in commercial insurance and risk management contexts.
- Conduct research on client risk areas, develop custom statistical data models and algorithms, and deliver data-backed consulting insights.
Minimum Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, or related fields.
- At least 4 years experience in Data Engineering, Data Science, AI research, or similar fields.
- Hands-on expertise in Python, PySpark, SQL, and Databricks including medallion architecture.
- Hybrid work location requirement: Pune office at least three days per week.
Ideal Candidate Profile
- Experienced in building end-to-end data engineering solutions with solid programming and data systems skills, especially in Python, PySpark, SQL, and Databricks.
- Familiarity with insurance, risk management concepts, and risk modeling will enhance fit.
- Ability to translate complex statistical analyses into client-oriented solutions with strong analytical and communication skills.