Job Summary
We are seeking a skilled DataStage & SAS DI Developer with strong ETL development experience and hands-on exposure to business intelligence reporting platforms. The ideal candidate will have expertise in IBM DataStage, SAS Data Integration Studio, and Qlik Sense and/or Power BI. Prior experience in the ING environment is strongly preferred.
Key Responsibilities
- Design, develop, test, and support ETL solutions using IBM DataStage.
- Develop and maintain data integration workflows using SAS Data Integration Studio (SAS DI).
- Perform data extraction, transformation, and loading across multiple source systems.
- Design and optimize complex SQL queries for data processing and reporting.
- Create and support interactive dashboards and reports using Qlik Sense and/or Power BI.
- Collaborate with Business Analysts, Data Architects, and stakeholders to translate requirements into technical solutions.
- Ensure data quality, consistency, traceability, and governance across data platforms.
- Troubleshoot production issues, perform root-cause analysis, and provide timely resolution.
- Participate in Agile ceremonies, sprint planning, testing, deployment, and release activities.
Support data migration, platform modernization, and continuous improvement initiatives.
Skill Requirements
- Strong analytical, troubleshooting, and problem-solving ability.
- Clear communication and stakeholder-management skills.
- Ability to work independently and collaborate effectively in a distributed global delivery model.
- Ability to manage priorities and deliver high-quality outcomes within agreed timelines.
|
Skill / Competency |
Expected Proficiency |
|
IBM DataStage |
Expert |
|
SAS Data Integration Studio (SAS DI) |
Expert |
|
SQL / Database Development |
Strong |
|
ETL Design & Development |
Strong |
|
Data Warehousing Concepts |
Strong |
|
Qlik Sense and/or Power BI |
Hands-on |
|
Data Analysis & Troubleshooting |
Strong |
|
Agile / Scrum |
Working Knowledge |
Other Requirements
Preferred / Good-to-Have Skills
- Prior experience working within ING projects, platforms, processes, or delivery environments.
- Hands-on or working knowledge of SAS Viya.
- Experience with Oracle and/or SQL Server databases.
- Knowledge of data quality, metadata management, and data governance practices.
- Exposure to Python or shell scripting for automation and data processing.