Job Description
This is an exciting opportunity for an experienced Data Engineer. You will join a team delivering a design & development of modern data management tools to curate important data sets, models and processes, while identifying areas for process automation and further efficiencies for a key Version 1 customer.
Qualifications
1. A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
2. Strong object-oriented design and programming skills and experience in OO languages (Python and/or Java)
3. Previous experience in Data manipulation, Data Analysis or Data Modelling
4. Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
5. Experience or interest in functional programming languages
6. Relevant work experience in a team-focused environment
7. Proven experience applying domain driven design to build complex business applications
8. In-depth knowledge of relational and columnar SQL databases, including database design
9. General knowledge of business processes, data flows and the quantitative models that generate or consume data
10. Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
11. Independent thinker, willing to engage, challenge or learn
Ability to stay commercially focused and to always push for quantifiable commercial impact
12. Strong work ethic, a sense of ownership and urgency
Strong analytical and problem solving skills
Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
Preferred Qualifications
13. Financial Services or Pharmaceutical industry experience
14. Experience in distributed system design
15. Experience with Pure/Alloy
16. Working knowledge of open-source tools such as AWS lambda, Prometheus
17. Spark, Hadoop or Snowflake knowledge would be a plus.