Oliver Wyman - Lead Data Engineer - Data and Analytics (DNA) - Gurugram, India

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Skills you'll use

What you'll do

• We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries.
• In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction.
• Your responsibilities will include
• Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges
• Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders
• Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building
• Advocating application of best practices in data engineering, code hygiene, and code reviews
• Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects
• Creating and maintaining documentation to support stakeholders and runbooks for operational excellence
• Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities

Who can apply

• Bachelor's or master’s degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related)
• Strong mentoring skills, guiding junior engineers on advanced data engineering concepts, platforms, and quality assurance processes—applicable for Senior and Lead levels.

About Marsh McLennan

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