Oliver Wyman - Data Engineer / Senior Data Engineer - Data and Analytics (DNA) - Gurugram, India
Marsh (company site, opens in a new tab)0–8 yrsGurugramHybridDirect career pageEst. 7–20 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and monitor high-performance data engineering applications that support large-scale machine learning and advanced analytics frameworks.
- Collaborate directly with Oliver Wyman consulting teams and clients to understand business challenges and deliver tailored data solutions and pipelines.
- Lead development and documentation of data engineering assets, ensuring operational excellence and best practices in code quality and architecture guidance.
Minimum Requirements
- Bachelor's or master’s degree in Computer Science, Informatics, Data Science, or related quantitative discipline from a top academic program.
- Experience designing and deploying cloud-native data applications using AWS, Azure, or Google Cloud Platform.
- Proficiency in Python (mandatory) and strong SQL skills with experience on relational databases like MySQL, PostgreSQL, or Oracle.
- Work Experience Required: 0-8 years in data engineering roles with familiarity in big data tools like PySpark, Databricks, Snowflake, and CI/CD pipeline integration.
Ideal Candidate Profile
- Ability to work independently and prioritize workload in fast-paced environments while collaborating effectively with cross-functional teams including consulting partners.
- Experience mentoring junior engineers on advanced data engineering concepts and quality assurance practices, aligned with Senior or Lead Engineer levels.
- Strong pragmatic problem solver with experience deploying production-grade data pipelines and integrating emerging data engineering frameworks and tools.