Senior Data Engineer (Data Integration)

EPAM Systems

Benefits
Qualifications
Special Commitments
Skills

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/Benefits

  • 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

Life at EPAM

  • EPAM is a leader in the fastest-growing segment (product development/digital platform engineering) of the IT industry. We acquired Just-BI in 2021 to reinforce our leading position as a global Business Intelligence services provider and have been growing rapidly. With a talented multinational team, we provide data and analytics expertise
  • We are currently involved in end-to-end BI design and implementation projects in major national and international companies. We are proud of our entrepreneurial start-up culture and are focused on investing in people by creating continuous learning and development opportunities for our employees who deliver engineering excellence for our clients
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Confirmed 19 hours ago. Posted 18 days ago.

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