Senior Data Engineer (Qilk Replicate)

Join EPAM Systems in Malaysia as a Senior Data Engineer. You will design, administer and support scalable data integration solutions using Qlik Replicate. Partnering with diverse teams, you will build reliable pipelines for real-time and batch data movement. Drive continuous improvement, ensure production stability and support modernization across enterprise systems.

Responsibilities

• Design, develop and maintain Qlik Replicate data pipelines for real-time and batch replication across heterogeneous systems
• Administer Qlik Replicate servers, manage licensing, monitor task performance and optimize resources
• Troubleshoot data replication issues, performance bottlenecks and production incidents across environments
• Develop and maintain complex SQL queries, PL/SQL programs, Unix scripts and technical documentation
• Collaborate with business, data and infrastructure teams to deliver end-to-end data migration solutions
• Support testing, validation, deployment and automation of Qlik tasks before transition to BAU
• Provide Level 2 and Level 3 BAU support for production environments, including root-cause analysis
• Ensure solutions comply with data governance, security and regulatory standards while supporting continuous improvement

Requirements

• Proven experience in data engineering, data integration and enterprise production support using Qlik Replicate
• Strong understanding of relational databases, data warehousing, CDC and pipeline management
• Hands-on experience with Qlik Enterprise Manager, Qlik Compose, Oracle SQL and performance tuning
• Demonstrated ability to utilize Unix or Linux scripting for server operations and security setups
• Experience supporting data ingestion and troubleshooting within Hadoop or Cloudera Data Platform
• Track record of success managing project-based delivery, BAU operations and incident resolution
• Strong background in stakeholder management, analytical thinking and cross-functional collaboration
• Bachelor’s degree in Computer Science, Data Engineering or a related discipline with a strong awareness of data governance

Nice to have

• Hands-on experience working with Talend ETL tools
• Knowledge of CI/CD practices for data pipeline deployment and automation
• Experience supporting data modernization, cloud migration or analytics platform initiatives