Senior Data Engineer (Data Integration)
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 operate scalable data pipelines for app tracking data, event-based analytics and application measurement use cases
- Process, transform and integrate raw data from Google Analytics into BigQuery, data lakes and other analytics platforms
- Build and maintain SQL queries, Python scripts, data workflows and pipeline components to support data processing requirements
- Provide consultation on KPI definitions, measurement frameworks, tracking logic and analytics data structures
- Collaborate with business, product and engineering teams to translate requirements into practical technical solutions
- Monitor data pipelines, data freshness, workload performance and reliability across app analytics environments
- Support API integrations, data ingestion processes, automation activities and improvements to data pipeline operations
- Ensure solutions follow data governance, security, audit and operational best practices
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
