Data Analyst Architect
4 days ago
We are seeking an experienced professional to join our team as a Data Analyst Architect.
About this OpportunityThis individual will be responsible for consolidating and harmonizing Payments Data for distribution to other solutions. They should also understand software development aspects, including architectural decisions, tech stack improvements, and prioritization.
Your Main Responsibilities- Consolidate and harmonize Payments Data for distribution to other solutions.
- Develop integrations supporting End2End payment flows in Nordea's target architecture.
- Contribute to solution architecture, design, and maintainability of applications.
- Design and maintain near real-time data pipelines.
- Collaborate with product owners and stakeholders to clarify requirements.
- Perform quantitative data analysis to identify issues and recommend solutions.
- Work with developers to document designs and solutions.
- Elicit requirements from various stakeholders in a complex environment.
- Be responsible for requirements documentation and quality improvement.
- Access complex datasets and perform statistical analysis.
- A team player who takes ownership and builds cross-functional relationships.
- Active participant in multiple initiatives, with a consultant mindset.
- Effective communicator contributing to a productive work environment.
- Expertise in data modelling principles, data architectures, and integration patterns.
- Expertise in requirement elicitation and analysis.
- Proficiency in SQL (Oracle, MSSQL, or similar RDBMS).
- Experience in one or more cloud platforms (AWS/Azure/Google).
- Knowledge of the banking sector and payment domain (ISO20022 standard, SEPA, and Swift messages).
- Hands-on knowledge of practices like Domain Driven Design, Event Sourcing Architecture Patterns, Microservices Architecture, and Clean Code.
- Hands-on knowledge of CI/CD, Jenkins, Docker, Kubernetes, REST, Maven, and JUnit.
- Experience building distributed, highly available, and high-throughput applications.
- Degree in Computer Science and Engineering, Mathematical Modelling, or similar.
- Excellent written and spoken English communication skills.
We believe that diversity makes us better at serving customers and communities. Please come as you are.
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