Oliver Wyman - Lead Data Engineer - Data and Analytics (DNA) - Gurugram, India
Compensation
Not disclosed
Location
Gurugram - Horizon
Work setup
Not specified
Seniority
Lead
Employment
Not specified
Experience
0+ years
Category
Data engineering
Posted
Skills
airflow
analytics
aws
azure
big-data
cassandra
ci-cd
cloud
cloud-native
containerization
data-engineering
data-pipelines
data-science
databricks
dbt
devops
django
docker
etl
fastapi
flask
gcp
kubernetes
machine-learning
mongodb
mysql
nosql
oracle
postgresql
pyspark
python
rdbms
sas
scikit-learn
snowflake
sql
tdd
tensorflow
Full description
Company:
Oliver Wyman
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Description:
Practice Overview
Practice: Data and Analytics (DNA) - Analytics Consulting
Location: Gurugram, India
At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally.
Our Mission and Purpose
Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams.
Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results.
We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members.
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.
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
Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them
Keeping up with emerging state-of-the-art data engineering techniques in your domain
Your Attributes, Experience & 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.
Experience designing and deploying cloud-native data applications.
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.
Technical Background
Prior experience in designing and deploying large-scale data solutions
Fluency in modern programming languages (Python is mandatory; R, SAS desired)
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
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
Experience with backend web frameworks (FastAPI, Flask, Django) is beneficial
Experience with NoSQL databases such as MongoDB or Cassandra
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.
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Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
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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.