Senior Data Engineer (Qlik, ETL)
On-site Kuala Lumpur Senior Data Engineering
At a glance
Senior Data Engineering role at Two95 International Inc. Kuala Lumpur.
Pay not stated Data Engineer salary
RoleData Engineering
SenioritySenior
LocationKuala Lumpur
WorkplaceOn-site
PostedJun 6, 2026 · 4mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Qlik Replicate pipelines for live and scheduled transfers between databases and other systems
- Keep Qlik Replicate servers running, tune task settings, and resolve replication, performance, and connection problems
- Work with business and technical teams to shape migration solutions, then test and release pipelines into production
- Write system diagrams and operating guides, automate Qlik tasks, and provide production support with incident analysis
- Coordinate with database and infrastructure teams on live issues, and guide junior staff when needed
What you bring
- At least ten years in software engineering, with practical data engineering experience in the data and AI domain
- Five or more years developing and administering Qlik Replicate, including work with Qlik Enterprise Manager or related tools
- Strong SQL and PL/SQL skills, plus experience diagnosing database issues and improving query performance
- You understand relational databases, data replication methods, and data warehousing
Who this fits
This senior role suits someone who can own Qlik Replicate delivery and production support while coordinating across business, technical, and remote teams. The position is onsite in Kuala Lumpur, Malaysia.
From the employer
We are looking for Senior Data Engineer with 10 years of experience.
Data Ingestion Design & Development
- Design, develop, and maintain Qlik Replicate data pipelines for near-real-time and batch data replication between heterogeneous systems (e.g., Oracle, Cloudera, DB2, etc.).
- Administer Qlik Replicate servers, monitor task performance, and manage licensing, upgrades, and patches.
- Implement best practices for replication task configuration, error handling, and resource optimization.
- Troubleshoot data replication issues, performance bottlenecks, and connectivity errors across environments.
- Oracle DB knowledge and proficient in writing complex SQL queries and PL/SQL programs
- Unix basic knowledge and hands-on Unix scripting
- Hadoop (Cloudera Data Platform) basic knowledge and hands-on
Data Integration & Project Delivery
- Collaborate with business and technical teams to understand data integration requirements and deliver end-to-end data migration/replication solutions.
- Participate in data modernization, cloud migration, or analytics platform initiatives.
- Develop technical documentation, architecture diagrams, and operational guides.
- Support testing, validation, and deployment of data pipelines into production.
- Post development, actively plan and implement automation for the Qlik tasks and associated programs before handing over to BAU
- Knowledge in CI/CD is a plus
The Job
Data Ingestion Design & Development
- Design, develop, and maintain Qlik Replicate data pipelines for near-real-time and batch data replication between heterogeneous systems (e.g., Oracle, Cloudera, DB2, etc.).
- Administer Qlik Replicate servers, monitor task performance, and manage licensing, upgrades, and patches.
- Implement best practices for replication task configuration, error handling, and resource optimization.
- Troubleshoot data replication issues, performance bottlenecks, and connectivity errors across environments.
- Oracle DB knowledge and proficient in writing complex SQL queries and PL/SQL programs
- Unix basic knowledge and hands-on Unix scripting
- Hadoop (Cloudera Data Platform) basic knowledge and hands-on
Data Integration & Project Delivery
- Collaborate with business and technical teams to understand data integration requirements and deliver end-to-end data migration/replication solutions.
- Participate in data modernization, cloud migration, or analytics platform initiatives.
- Develop technical documentation, architecture diagrams, and operational guides.
- Support testing, validation, and deployment of data pipelines into production.
- Post development, actively plan and implement automation for the Qlik tasks and associated programs before handing over to BAU
- Knowledge in CI/CD is a plus
BAU Support & Maintenance
- Provide Level 2/3 support for production Qlik Replicate environments, ensuring minimal downtime.
- Monitor replication tasks, alerts, and logs; perform root cause analysis for incidents.
- Coordinate with DBAs, infrastructure, and application teams to resolve issues promptly.
- Ensure compliance with data governance, audit, and security standards.
- Collaboration & Stakeholder Engagement
- Work with business users, data architects, and data analysts to ensure consistent and reliable data delivery.
- Participate in team meetings, and cross-functional discussions.
- Train or guide junior developers or support staff when required.
- Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
- Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
- Highlights any potential concerns /risks and proactively shares best risk management practices.
Mandatory skillsets:
- Over 10 years of experience in software engineering, with a strong focus on the Data and AI domain, including hands-on expertise in data engineering
- 5+ years of hands-on experience in Qlik Replicate (Attunity Replicate) as both Developer and Administrator.
- Strong understanding of relational databases, replication concepts (CDC, full load, incremental load), and data warehousing.
- Experience with Qlik Enterprise Manager, Qlik Compose and other related Qlik tools
- Proficiency in PL/SQL, SQL, database troubleshooting, and performance tuning.
- Familiarity with Linux/Windows scripting, network configuration, and security setup for Qlik Replicate environments.
- Hands-on experience in Big Data Hadoop systems is an added advantage
- Working experience in Talend ETL tool is a plus
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and stakeholder management abilities across remote teams.
- High level of integrity, takes accountability of work and good attitude over teamwork.
- Takes initiative to improve current state of things and adaptable to embrace new changes.
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