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
We offer
- By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023.
- Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
- You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
- We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
- At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us
