Senior DataStage Engineer
Employee | Tech | Professional | Brussels | 2024-10-15 | REQ-10081769
What will you do?
You work in a squad as an IT Engineer to unlock a wide range of sources to our Information Warehouse and Data Marts. Sources deliver batch but also real-time.
Modeling in the Information Warehouse is based on a 'Data Vault'-like model. Data Marts are dimensionally modeled and are accessible by end users through Cognos Analytics.
Resources and their metadata are first described by the Business in the Information Governance Catalog and are logically modeled where necessary using the IBM BDW (Banking Data Warehouse) reference model.
Your work covers the end-to-end data integration process from technical analysis to deployment and management.
Your work environment
ING works agile in multi-disciplinary teams (i.e. squads) based on Scrum and DevOps. As an engineer you work in a squad, but you are also part of a cross-squad expertise focused chapter. In your case, that is the Data Processing chapter.
Check our way of working: https://www.youtube.com/watch?v=NcB0ZKWAPA0
Who are you?
You are an enthusiastic, motivated engineer who enjoys working in a team on complex data integration solutions.
You automate your own work! Instead of building the same job several times, standardizing and automating work is deeply rooted in your Engineer DNA. This applies not only to job building but to complete end-to-end delivery, including automatic testing and continuous delivery.
You don't shy away from challenges. In fact, you go ahead and share your solution with your colleagues. You also endorse the values of ING, you consider it natural to behave in accordance with these values in your work and you are, like all ING employees, prepared to take the banker's oath. For more information,
In addition, you recognize yourself in the following profile:
- Fluency in English
- Experience in end-to-end delivery of a data integration solution, including deployment and management
- Working experience in IBM Infosphere DataStage is a must
- Knowledge of SAS Enterprise guide is a big plus
- Experience in Scheduling tools (preferably UAC)
- Working experience in SQL
- Knowledge of Oracle is a plus
- Knowledge of UNIX, Linux is a plus
- Experience in agile development (pre)
- Familiar with test driven development (pre)
- Good knowledge of dimensional modelling
- Working experience in GIT
- Familiar of Continuous Delivery
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