Senior Qlik BI Developer

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 3+ years of hands-on experience delivering BI solutions
• Strong expertise in Qlik Sense (on-prem and/or SaaS)
• Proficiency in reading, debugging, and improving Qlik load scripts, data models, and front-end performance
• Practical background in supporting BI in a production/BAU context, including incidents, SLAs, and a stability-first mindset
• Experience working with modern data warehouses (preferably Snowflake) and SQL-based data validation
• Strong communication skills for cross-functional work with Product Leads, SMEs, QA, and Platform Ops
• Excellent command of written and spoken English (B2+ level)

Nice to have:

• Exposure to governance and access controls (e.g., Qlik Section Access concepts, SOX-like control environments)
• Familiarity with test automation and data reconciliation tooling for BI validation
• Experience modernising BI estates, including rationalisation, rebuild patterns, and semantic layer concepts

• Take ownership of Qlik applications within assigned domain wave (e.g., Finance / Supply Chain), including understanding app structure, load scripts, QVD usage, and business logic
• Troubleshoot and resolve BI defects, including reload failures, data mismatches, performance bottlenecks, broken visuals, and permission/access issues (in coordination with platform admin)
• Support validation activities by comparing outputs across cycles, investigating discrepancies, and documenting evidence for signoff
• Contribute to operational readiness through runbooks, known-issues logs, monitoring inputs, and incident/problem tickets
• Participate in assess & rationalise (4R) activities for the BI estate
• Rebuild and refactor priority Finance/Supply Chain analytics assets and data models as modernisation proceeds
• Collaborate with the data platform team (Snowflake) and governance to align consumption patterns, definitions, and controls