Overview

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting Location: Gurugram, India

Responsibilities

• The Role and Responsibilities 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.

Qualifications

• 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.
• Hands-on knowledge of test-driven development (TDD) and CI/CD pipeline integration.
• Pragmatic, methodical problem-solving approach with a focus on impactful delivery.
• Ability to independently prioritize workload and meet deadlines in fast-paced environments.
• Strong team collaboration skills combined with excellent verbal and written communication in English.
• Willingness to travel internationally as required.
• Strong respect for confidentiality and data security.
• Prior experience in designing and deploying large-scale data solutions
• Fluency in modern programming languages (Python is mandatory; R, SAS desired)
• Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle
• Familiarity with big data tools and frameworks such as PySpark, Databricks, Snowflake, and DBT.
• Basic hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc
• Familiarity with modern storage and computational frameworks
• Valued but not required:
• Compelling side projects or contributions to the Open-Source community
• Awareness of machine learning frameworks (e.g., Scikit-Learn, TensorFlow)
• Familiarity with containerization technologies, such as Docker and Kubernetes
• Roles and levels
• We are hiring for engineering role across the levels from Data Engineer to Lead Data Engineer level for experience ranging from 0-8 years.
• In addition to the base salary, this position may be eligible for performance-based incentives.
• We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.
• Oliver Wyman is an equal-opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.
• Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
• Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.