Qlik Developer

Description

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.

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

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