Oliver Wyman - Lead Data Engineer - Data and Analytics (DNA) - Gurugram, India
Marsh (company site, opens in a new tab)0–8 yrsGurugramHybridDirect career pageEst. 20–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and monitor high-performance data engineering applications enabling rapid deployment of machine learning frameworks and advanced analytics at scale.
- Collaborate directly with clients and consulting teams to understand business challenges and design/manage large-scale data pipelines and ETL processes.
- Lead data engineering efforts including best practices advocacy, architecture design, proprietary asset development, documentation, and supporting proposal development.
Minimum Requirements
- Bachelor's or master’s degree in Computer Science, Informatics, Data Science, or related quantitative discipline from a top academic program.
- Mandatory proficiency in Python and strong SQL skills; experience with cloud platforms (AWS, Azure, or GCP) and big data frameworks (PySpark, Databricks, Snowflake, DBT).
- Prior experience designing and deploying large-scale data solutions with CI/CD pipeline integration and test-driven development.
- Work Experience Required: Ranges from 0 to 8 years; notice period not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with cloud-native data applications and modern data engineering tools capable of handling big data at scale.
- Capable of independently managing workload, prioritizing tasks in fast-paced environments, and mentoring junior engineers on advanced data engineering.
- Ready to engage in client-facing roles internationally and work collaboratively across diverse teams and stakeholders to deliver impactful solutions.