- Kuala Lumpur, Kuala Lumpur Kuala Lumpur WP Kuala Lumpur Malaysia
工作地点
职位描述
岗位职责
Requirements
• Senior roles: 8+ years experience in ETL / Data Engineering / Data Operations - Banking Domain
• ETL Developer role: 3–8 years acceptable (SAS DI / Datastage) – Banking Domain
• Strong SQL, ETL, and troubleshooting experience
• Experience in production support and batch processing environments
Salary
Senior Role: RM 11500 – RM *************
ETL Developer: RM 7500 – RM *************
Location: Kuala Lumpur
Job Summary
We are hiring experienced ETL professionals to support enterprise data warehouse operations, ETL production support, and data integration projects. Candidates may be considered for one of the roles below based on skills and experience.
Role 1: Senior ETL Data Operations
Key Responsibilities
• Monitor and manage daily ETL batch cycles and ensure SLA compliance
• Handle ETL failures, incident management, RCA, and production support (L2/L3)
• Ensure data quality, reconciliation, and governance standards
• Optimize ETL performance and automate operational tasks
• Coordinate with technical and business teams for issue resolution
Key Skills - Mandatory
• Informatica / NiFi / ETL & cloud tools
• SQL & Data Warehousing
• Hadoop / Teradata / Spark / PySpark
• Unix/Linux shell scripting
• Batch scheduling tools & Experience Managing production Support (L2/L3)
Role 2: Informatica and Hadoop Developer – Data Management
Key Responsibilities
• Develop, troubleshoot, and support ETL workflows across platforms
• Monitor jobs, workflows, and resolve production issues
• Perform incident, problem, and change management
• Support data warehouse operations and performance tuning
Key Skills - Mandatory
• Informatica, Hadoop, ODI
• SQL (Teradata / Oracle)
• Hive, BTEQ, FastLoad, MultiLoad, TPT
• Unix shell scripting
• Scheduling tools
Role 3: ETL Developer (SAS Data Integration Studio / IBM Datastage / Credit Risk / Basel)
Key Responsibilities
• Develop and support ETL solutions for Credit Risk and Basel projects
• Work with Business Analysts, Data Modelers, and Architects on design
• Build, test, debug, and optimize ETL processes
• Support production issues and ensure data quality
Key Skills - Mandatory
• SAS DI ETL / IBM Datastage
• SQL scripting
• Unix/Linux & Windows scripting
• Data analysis and ETL performance tuning
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