Data Warehouse Support Engineer - Singapore - ANTAS PTE. LTD.
Description
POSITION OVERVIEW :
Datawarehouse Support Engineer (EDW)
POSITION GENERAL DUTIES AND TASKS:
The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.
He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.
- Responsible to provide BAU support for Enterprise Datawarehouse
- Responsible to provide operational support and ensure SLI of system availability, batch deliverables
- Respond on time to the queries raised by various business units
- Provide timely updates regarding production status and progress of issue resolution
- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards
- Perform impact analysis of enhancements/projects that will impact supported systems
- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA
- Support relevant software/platform/database upgrade for the systems
- Work with delivery team for smooth transition from projects/enhancements to BAU Mode
- Incident, problem, and service outage management experience
- Participate in Disaster Recovery and Business Continuity exercises
- Able to support relevant software/platform/database upgrade for the systems
- Server Performance, capacity, utilization monitoring and Health monitoring
- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes
- At least 3+ years of relevant experience in banking/financial services industry
- Experience with Teradata FSLDM and data mapping
- Handson technologist, strong in SQL, UNIX and Teradata tools and technologies
- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)
- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage
- Experience in Performance Tuning on Teradata or other MPP data pipeline
- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus
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