Lead Data Engineer - Data and Analytics (DNA)

Practice: Data and Analytics (DNA) - Analytics Consulting

Role : Lead Data Engineer

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 Indias 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. Youll 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 masters 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 environment
• 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

Interview Process

The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team.

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.