We are seeking an experienced Qlik Developer to lead the design, architecture, and implementation of enterprise-scale analytics solutions using the Qlik platform. The ideal candidate will have strong expertise in Qlik Sense / QlikView architecture, data modeling, and BI strategy, and will work closely with business stakeholders, data engineers, and developers to deliver scalable and high-performance analytics solutions.
Software Development
- Design and implement end-to-end BI and analytics solutions using Qlik Sense / QlikView
- Define enterprise BI architecture, including data integration, data modeling, governance, and security
- Establish best practices and standards for Qlik development, deployment, and maintenance
Data Integration & Modeling
- Design optimized data models and ETL processes for Qlik applications
- Integrate Qlik with various data sources such as databases, cloud platforms, APIs, and data warehouses
- Ensure efficient data loading, transformation, and performance optimization
Platform & Infrastructure
- Architect scalable Qlik environments (on-premise / cloud)
- Manage Qlik server architecture, security, and performance tuning
- Support migration strategies (e.g., QlikView to Qlik Sense)
Leadership & Governance
- Provide technical leadership and mentorship to Qlik developers and BI teams
- Collaborate with business stakeholders to translate requirements into scalable BI solutions
- Establish governance frameworks, reusable assets, and development standards
Performance & Optimization
- Optimize dashboards and data models for large datasets and high concurrency usage
- Implement monitoring, logging, and performance tuning strategies
Collaboration
- Work with data engineers, architects, product owners, and business analysts to deliver analytics solutions
- Participate in architecture reviews and enterprise data strategy initiatives
Requirements
Technical Skills
- Strong expertise in Qlik Sense and/or QlikView architecture and development
- Advanced data modeling and scripting in Qlik
- Experience with ETL tools and data integration
- Strong knowledge of SQL, relational databases, and data warehousing concepts
- Experience with cloud platforms (AWS / Azure / GCP) is preferred
- Familiarity with REST APIs, data lakes, and big data technologies
Architecture & BI
- Experience designing enterprise BI architectures
- Knowledge of data governance, security models, and access control in Qlik
- Expertise in performance tuning and optimization