Job Summary
Key Responsibilities
2. To support as an SME
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and deliver risks are mitigated
5. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology
6. To review project deliverables.
7. To recommend client value creation initiatives and implement industry best practices (on specific technology/product)
Skill Requirements
- Data Management & Data Governance — hands-on experience (not just awareness)
- Data Warehousing & Dimensional Data Modelling — conceptual, logical, physical models
- SQL — advanced level (complex queries, data profiling, analysis)
- IBM DataStage — ING's core ETL tool, must have working experience
- IBM InfoSphere Governance Catalog — metadata management (ING uses this daily)
- IBM Banking Data Warehouse Model — knowledge of banking data models (strong plus)
- Banking Domain Experience — mandatory, ING will not consider without this
- Data Quality & Data Retention — creating DQ rules, monitoring, governance
- Business / Data Analysis — ability to work with business stakeholders, translate requirements into specifications for engineers
- Agile / Scrum — sprint ceremonies, backlog, refinement
Good-to-Have:
- Data profiling, source-to-target mapping
- Data Lake concepts
- Experience working with Data Stewards, Architects, Product Owners
ING or similar banking experience (HSBC, ABN, Rabobank etc.)