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Role Description
This is a full-time on-site role as a part of team supporting large data platform transformation exercise. Opportunity to move to Data Science team.
Technical requirements
- DBA knowledge and experience, doesn't need to be an expert DBA, but should know and have some exposure and experience.
- Understanding existing stored procedures and extracting the logic from them
- Expertise in data modeling methodologies for both relational and NoSQL databases.
- Familiarity with financial domain concepts and data modeling tools.
- Experience in conceptual, logical, and physical data modeling, and data schema management.
Cross Functional skills
- They should have familiarity with version control (Git), CI/CD practices, security, data privacy, and compliance standards relevant to financial data and trading platforms.
- Strong communication skills and the ability to work collaboratively within an Agile development framework.
- AWS preferred
Attitude
- Curiosity to learn and adapt with changing needs.
- Ability to pick up new concepts and learn new methodologies.
- Can do attitude.
Other (Good to have skills)
- Understanding of microservices architecture, RESTful APIs, and containerization (Docker, Kubernetes).
- Experience with message brokers (e.G., Kafka) for building event-driven systems.
- Knowledge of other programming languages – some exposure is good, but not necessary.
- Coding skills like Python would be a HUGE plus
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