Data Engineer

1. Able to work efficiently in the whole system development life cycle (SDLC) for Data Warehousing and Business

Intelligence solutions.

2. Troubleshoot Business Intelligence tools, systems and software, performance tune as and when necessary.

3. Develop and support data extraction, transform , load to data warehouse by using IBM Datastage or other

similar ETL tools.

4. Develop and support SAP Business Object report/dashboard.

5. To work closely with business users on data mapping (source vs target).

6. Proficient Spark pool, Python, Power BI skillset to develop the ETL jobs and reports.

7. Understanding of cloud architecture and methodologies especially in Azure.

8. Experience in AI would be advantages.

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