- Have Bachelor Degree from reputable University with education background from
- Computer Science / Information Technology, Science & Technology, Business
- Studies / Management or equivalent
- Minimum 3 years experience of End-to-End knowledge of Data warehousing and BI System (inculdes Data Modeling, ETL Architectures and OLAP)
- Experience working with ETL in data warehouse, experience in dealing with performance and scaling issues including data profiling, data quality management and source data analysis.
- Able to design, develop, test, and maintaining relational database, database query,
- stored procedure, etc.
- Have capability to investigate issues that relate to database system
- Able to do SQL tuning and performance optimization of a database system
- Able to create Entity Relationship Diagram for project needs
- Able to create database objects such as tables, views, stored procedure, trigger,
- constraint, etc.
- Have good knowledge in Master Data Management, Data warehouse/Data Mart, or
- Data Quality/Governance processes will be advantageous
- Able to create data mart or data model that has been defined for a project
- Able to create a BI design and solution that can suffice the requirement of a project
- Have capability to create report model or template for report or dashboard generator
- Have capability to create report and do a report deployment using IBM Cognos Business Intelligence
- Able to do configuration, deployment, and maintenance of a database system
- Have an advance knowledge on Data Quality tools (e.g. Informatica Data Quality,
- IBM Information Server, SAP Data Quality Management, SAS Data Quality, etc.)
- Strong database knowledge ( Oracle, mySQL or DB2 )
- Work Location : North Jakarta
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PT. Trengginas Daya Insani is services company that focused on provide of professionals workers especially in IT (Information Technology). Our clients mostly from national or multinational company that primary business in Banking, Telecommunication and etc. Currently, we have assignees our professional workers spread on several banks, including national or international bank.