QlikSense Developer - Wholesale Banking
Singapore4d ago
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Key details
- Location
- Singapore
- Work style
- Onsite
- Level
- Senior
- Job type
- Contract
- Experience
- 5–10 yrs
- Function
- Software engineering
- Focus area
- Data engineering & Analytics
- Posted
- 4d ago
Skills
access controldata analysisdata governancedata modelingdata validationdata warehousingetlkpisperformance tuningqlikscriptingsnowflakesqltrade finance
About the role
Role Overview:
We are seeking an experienced QlikSense Developer with strong exposure to Wholesale Banking domain. The ideal candidate will be responsible for end-to-end BI solutioning including architecture, data modeling, dashboard design, and report development across Trade Finance, Business Banking, Wealth Management, and Transaction Banking portfolios.
Key Responsibilities:
- Design and architect scalable QlikSense BI solutions aligned with Wholesale Banking business requirements.
- Develop, enhance, and maintain interactive dashboards and reports using QlikSense.
- Build robust data models, ETL scripts, and data transformations within Qlik environment.
- Work closely with stakeholders from Trade Finance, Transaction Banking, Wealth, and Business Banking teams to translate requirements into technical solutions.
- Optimize performance of Qlik applications for large-scale banking datasets.
- Implement data governance, security rules, and access controls in QlikSense.
- Perform data validation, reconciliation, and ensure high data accuracy standards.
- Support UAT, production deployment, and ongoing enhancements.
- Collaborate with data engineers and architects for integration with enterprise data warehouse and cloud platforms.
Mandatory Skills & Experience:
- 5-10 years of experience in QlikSense development and data analytics space.
- Strong Wholesale Banking domain experience (Trade Finance, Business Banking, Wealth, Transaction Banking).
- Expertise in Qlik scripting, data modeling (star/snowflake schema), and performance tuning.
- Strong SQL knowledge and experience working with large datasets.
- Experience in data warehouse concepts and banking KPIs.
- Understanding of regulatory and MIS reporting in banking environment.
- Experience integrating Qlik with cloud / enterprise data platforms is preferred.