Data Engineer

 Company: Oliver Wyman
  
 Description: 

RoleData Engineer

Who We Are

Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation.

Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies.

Oliver Wyman is a business of Marsh McLennan [NYSEMMC]

For more information, visit www.oliverwyman.com

Follow Oliver Wyman on Twitter @OliverWyman

Practice Overview

PracticeData and Analytics (DNA) - Analytics Consulting

LocationGurugram, 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 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 Associate 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 Associate 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. Were not perfect, but were 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.