Lead Data Engineer - Qlik Replicate & Pipelines

Great Eastern; Kuala Lumpur; Sur place; MYR 180 000 - 300 000; Plein temps

Résumé du poste

Great Eastern is seeking a Lead Software Engineer and Qlik Replicate Administrator/Developer to design and implement scalable data store solutions for operational and strategic needs. The role requires strong data engineering expertise, scripting, and a proactive approach to compliance and innovation in data practices.

The candidate will lead data ingestion designs, manage replication tasks, and collaborate with cross-functional teams to deliver reliable data pipelines and modern data platforms,

Qualifications

• 5+ years hands-on experience in Qlik Replicate (Attunity) as Developer/Administrator.
• Strong SQL/PLSQL, Oracle DB familiarity, and data warehousing know-how.
• Unix/Linux scripting and basic networking knowledge for Qlik Replicate environments.
• Experience with data replication, transformation, and pipeline management.

Responsabilités

• Design, develop, and maintain Qlik Replicate data pipelines for real-time and batch replication.
• Administer Qlik Replicate servers, monitor performance, licenses, upgrades, and patches.
• Collaborate with business and technical teams to deliver end-to-end data migration/replication solutions.
• Support testing, validation, deployment, and BAU monitoring of data pipelines.

Connaissances

Qlik Replicate

Unix scripting

SQL/PLSQL

Data integration

Data warehousing

Big data / Hadoop

Problem solving

Outils

Qlik Enterprise Manager

Qlik Compose

Talend ETL

Description du poste

Great Eastern is seeking a Lead Software Engineer and Qlik Replicate Administrator/Developer to design and implement scalable data store solutions for operational and strategic needs. The role requires strong data engineering expertise, scripting, and a proactive approach to compliance and innovation in data practices.

The candidate will lead data ingestion designs, manage replication tasks, and collaborate with cross-functional teams to deliver reliable data pipelines and modern data platforms,