- 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

- Bachelors or master s degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related)
- Exposure to building cloud ready applications
- Exposure to test-driven development and integration
- Pragmatic and methodical approach to solutions and delivery with a focus on impact
- Independent worker with ability to manage workload and meet deadlines in a fast-paced workplace




- Collaborative team player
- Excellent verbal and written communication skills and command of English
- Willingness to travel
- Respect for confidentiality

Technical Background

- Prior experience in designing and deploying large-scale technical solutions
- Fluency in modern programming languages (Python is mandatory; R, SAS desired)
- Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue
- Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle
- Experience with big data tools like Hadoop, Spark, Kafka
- Demonstrated knowledge of data structures and algorithms
- Familiarity with version control systems like GitHub or Bitbucket
- Familiarity with modern storage and computational frameworks
- Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Valued but not required:
- Compelling side projects or contributions to the Open-Source community
- Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet)
- Familiarity with containerization technologies, such as Docker and Kubernetes
- Experience with UI development using frameworks such as Angular, VUE, or React
- Experience with NoSQL databases such as MongoDB or Cassandra
- Experience presenting at data science conferences and connections within the data science community
- Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

📌 Lead Data Engineer - Data and Analytics (Gurugram)
🏢 Oliver Wyman
📍 Gurugram