Oliver Wyman - Lead Data Engineers/Data Scientists - Singapore
Marsh McLennan
- Singapore
- Permanent
- Full-time
- Understanding the overall problem being solved and what flows into it
- Building tools, platforms, and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions
- Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
- Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
- Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
- Minimum 8+ years relevant with technical background in computer science, software engineering, database systems, distributed systems
- Familiarity with statistics, data science, and machine learning
- A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Experience in financial services, technology, telecommunications or management consulting
- Experience with several programming languages, different programming paradigms, and operating systems
- A passion for technology and staying abreast of current and up-and-coming technologies
- Experience in all stages in the project lifecycle
- Excellent communication skills (verbal and written)
- A pragmatic approach to data and technology decisions
- Good team leadership experience
- Commitment to delivering value and helping clients succeed
- Ability to tailor your language to a technical or a non-technical audience
- Comfort working with both collocated and distributed team members across time zones
- Ability to codify best practices for future reuse in the form of accessible, reusable patterns, templates, and codebases
- Experience in client facing commercial environment
- Willingness for travel as required for projects
- Experience in building scalable solutions across multiple cloud providers
- Experience in cloud architecture across multiple cloud providers
- Experience in CI/CD for cloud deployments
- Experience with RESTful APIs, microservices, Open API’s
- Experience in working within an Agile methodology
- Extremely strong server-side development skills
- Experience working with visualization software, example Tableau, Qlik, PowerBI etc
- Experience with Spark, pySpark, Graph, Pandas etc
- Certifications in AWS
- Certification in DataBricks
- Experience in serverless technologies
- Experience in data tools, example Snowflake, Cloudera etc