- Kuala Lumpur Federal Territory Malaysia
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Permanent
Kuala Lumpur
RM 10,000 - RM 13500
.
Key Responsibilities
1. ETL Operations & Batch Management
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Oversee daily ETL batch cycles, ensuring successful execution within defined SLA timelines
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Monitor job pipelines (ETL, ingestion, transformation) across multiple systems
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Manage job dependencies, reruns, and recovery processes during failures
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Ensure timely delivery of data warehouse outputs (e.g., month-end, regulatory reporting)
2. Incident & Problem Management
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Lead resolution of ETL and batch-related failures, including root cause analysis (RCA)
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Drive reduction of recurring incidents through permanent fixes and automation
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Coordinate with upstream/downstream teams to mitigate data pipeline disruptions
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Maintain production stability and minimize business impact
3. Data Quality & Integrity Assurance
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Ensure completeness, accuracy, and consistency of data across pipelines
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Implement validation checks and reconciliation processes
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Work with Data Management and Business teams to address data discrepancies
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Enforce data governance and audit requirements
4. SLA & Performance Management
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Ensure ETL job completion within defined SLA / batch window
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Optimize ETL performance (query tuning, job parallelism, resource allocation)
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Track and report operational KPIs (failure rates, SLA breaches, processing time)
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Drive continuous improvements in pipeline efficiency
5. Automation & Continuous Improvement
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Identify opportunities to automate manual operational tasks (e.g., reruns, monitoring alerts, reporting)
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Develop scripts (bash, SQL, scheduling tools) to improve operational efficiency
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Standardize runbooks and operational procedures
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Reduce dependency on manual intervention and tribal knowledge
Restricted
6. Stakeholder Management & Communication
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Act as primary liaison for ETL operations with Data Engineering, Platform, and Business teams
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Provide timely updates during major incidents and batch delays
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Support business-critical cycles (e.g., month-end processing, regulatory deadlines)
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Prepare operational reports and dashboards for management
7. Risk, Control & Compliance
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Ensure adherence to data governance, audit, and compliance requirements
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Maintain proper controls over production data processing
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Support audit activities with required documentation and evidence
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Identify and mitigate operational risks in ETL processes
8. Team Leadership & Knowledge Management
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Lead and mentor ETL operations team members
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Build strong documentation (runbooks, job inventory, dependency mapping)
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Enable faster onboarding through structured knowledge sharing
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Drive operational discipline and accountability within the team
Key Deliverables / Success Metrics
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ETL batch success rate (%)
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SLA adherence (on-time batch completion)
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Reduction in recurring failures
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Mean Time to Resolution (MTTR)
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Data quality issue reduction
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Automation coverage (% of manual tasks eliminated)
Required Skills & Experience
Technical Expertise
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Strong experience with ETL tools / frameworks (e.g., Informatica, Nifi, or similar)
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Hands-on with SQL, data warehousing, and performance tuning
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Experience in batch scheduling tools and job orchestration
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Knowledge of databases (Teradata, CDH Hadoop, CDP Hadoop, Spark, pyspark etc.)
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Scripting (bash, shell) for automation
Operational & Analytical Skills
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Strong troubleshooting and root cause analysis capabilities
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Experience managing production support (L2/L3)
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Understanding of data lineage and dependency management
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Ability to work under tight batch timelines and business-critical cycles
Leadership & Stakeholder Management
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Experience leading production operations teams
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Strong communication and incident management skills
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Ability to manage cross-team dependencies effectively
Peringatan Penting
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