Overview:
The Data Engineer plays a crucial role in our organization responsible for designing developing and maintaining scalable data pipelines and infrastructure to handle the companys growing data needs. This role is pivotal in ensuring the availability reliability and efficiency of data processes within the organization.
Key Responsibilities:
- Work across all aspects of data from engineering to building sophisticated visualisations;
- Analyze and interpret large (PBscale) volumes of transactional operational and customer data using proprietary and open source data tools platforms and analytical tool kits
- Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
- Data collection skills from Dune and other platform; data analysis skill from translating the raw data to business insights;
- Be part of a fastpaced industry and organisation where time to market is critical
Required Qualifications:
- Degree in a quantitative discipline such as Mathematics/Statistics Actuarial Sciences Computer Science Engineering or Life Sciences
- 35 years of fulltime work experience in an Analytics or Data Science role
- A selfdriven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software data models and programming languages
- A natural curiosity to identify investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
- A passion for Emerging Technologies related to Blockchain decentralized exchange and defi;
- Data Experience in Web3/DeFi industry is preferred. Competency in two or more of the following:
- An analytical software (e.g. R SAS Dune)
- A data visualisation tool (e.g. Qlikview Tableau PowerBI Dune)
- A relational or graph database management tool (e.g. SQL NoSQL Neo4J)
- Programming (e.g. VBA C Java Python)
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