Qlik Sense Engineer

IndiaPosted Jul 16, 2026

NA

Key Responsibilities

  • Design, develop, and maintain interactive Qlik Sense dashboards, reports, and visualizations to support retail business functions such as sales, inventory, merchandising, supply chain, and customer analytics.
  • Build and optimize data models (QVDs, ETL scripts) using Qlik Sense scripting to integrate data from multiple retail sources (POS systems, ERP, e-commerce platforms, CRM).
  • Deploy, configure, and manage Qlik Sense environments (Qlik Sense Enterprise/SaaS) on AWS, including EC2, S3, RDS, Lambda, and related services.
  • Collaborate with business stakeholders to gather requirements and translate them into scalable BI solutions.
  • Implement data governance, security, and access controls (Section Access) within Qlik Sense applications.
  • Optimize application performance, including load scripts, data reduction, and reload scheduling.
  • Integrate Qlik Sense with cloud-native data pipelines and data lakes/warehouses (e.g., Amazon Redshift, S3, Glue).
  • Monitor and troubleshoot data pipeline and dashboard issues, ensuring high availability and data accuracy.
  • Stay current with Qlik Sense updates, AWS services, and retail analytics trends to recommend improvements.

Required Skills & Qualifications

  • 5+ years of overall IT experience, with a minimum of 3+ years hands-on experience in Qlik Sense development and administration.
  • Strong expertise in Qlik Sense scripting, set analysis, data modeling (star/snowflake schemas), and visualization best practices.
  • Proven experience working in the retail industry, with an understanding of key retail KPIs (sales performance, inventory turnover, footfall analysis, category management, etc.).
  • Hands-on experience with AWS services such as EC2, S3, RDS, Lambda, Redshift, Glue, and IAM for deploying and managing BI applications.
  • Experience integrating Qlik Sense with cloud data warehouses and data lakes.
  • Solid understanding of SQL and experience working with large, complex datasets.
  • Familiarity with ETL tools and data pipeline orchestration.
  • Knowledge of Qlik Sense security framework, including Section Access and multi-tenant environments (for Qlik SaaS).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills to interact with both technical and business stakeholders.

 

Good to Have

  • Qlik Sense certification (Qlik Sense Data Architect / Business Analyst).
  • AWS certification (e.g., AWS Certified Solutions Architect / Data Analytics – Specialty).

Experience with other BI tools (Power BI, Tableau) for cross-platform knowledge

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