Engineering, Product Data Engineering, Data Engineer, Analyst/Associate, Singapore
Salary undisclosed
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- Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
- Contribute to an open-source technology -
- Engage with data consumers and producers in order to design appropriate models to suit enable the business
- Proactively solve data quality issues from both tactical and strategic perspectives
- Proactively work with market data and external vendors (e.g., Bloomberg, Reuters, S&P, etc..) to ensure we have the highest quality data in our systems
- 1+ years of relevant work experience in a team-focused environment
- In-depth knowledge of relational and columnar SQL databases, including database design
- Proven experience applying domain driven design to build complex business applications
- Deep understanding of multidimensionality of data, data curation and data quality
- Comfort with Agile operating models (practical experience of Scrum / Kanban)
- General knowledge of business processes, data flows and the quantitative models that generate or consume data
- Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
- Independent thinker, willing to engage, challenge or learn
- Ability to stay commercially focused and to always push for quantifiable commercial impact
- Strong work ethic, a sense of ownership and urgency
- Strong analytical and problem solving skills
- Establish trusted partnerships with key contacts and users across business and engineering teams
- Highly motivated
- Java / Python / AWS / React
- Financial Services industry experience
- Experience with Pure/Legend