Data Engineer
Data Engineer
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Job Description
Company:
Oliver WymanDescription:
Role: Data 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 dont 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 NYSE: MMC
For more information visit www.oliverwyman
Follow Oliver Wyman on Twitter @OliverWyman
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 customerfocused 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 highquality talent to provide exceptional analyticsdriven 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 highestquality talent equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build longlasting 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 highperformance 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 largescale 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 stateoftheart data engineering techniques in your domain
Your Attributes Experience & Qualifications
- Bachelors 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 testdriven 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 fastpaced 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 largescale 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 OpenSource community
- Prior experience with machine learning frameworks (e.g. ScikitLearn 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 teamfit interviews. Please include a brief note introducing yourself what youre looking for when applying for the role and your potential valueadd 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 08 years.
In addition to the base salary this position may be eligible for performancebased 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 equalopportunity 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.
Employment Type
Full-Time
