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At least 4 years of hands-on development experience of SAP Data Service especially using 4.3.
Should have experience in interacting with SAP ISU / Oracle / MS SQL / Azure (ADLS and Hyperscale) and flat files.
Key Responsibilities:
Understanding business requirements relating to business data sources with the ability to integrate and/or transform it effectively in accordance with business needs.
The customization and development of Extract Transform and Load routines, modeling, queries, reports and analysis, and the support of existing data marts, warehouse process chains, and associated models and queries.
Ensuring the successful delivery of all assigned Data Engineering work on projects across all ESB business units and their successful deployment to production, including use cases developed by our Data Science & Analytics team.
Implement changes (CRs) or new developments relating to existing data warehouses.
Troubleshooting and resolving issues with any of our SAP Business warehouse instances.
Key Skills/Knowledge/Experience:
1. Experience in Software Development and Agile Methodologies.
2. Excellent experience developing SAP BO Data Services solutions comprising data ingestion, transformation, cleansing, and integration.
3. Significant experience in tuning SAP Data Services jobs.
4. Proven ability to schedule SAP Data Services jobs optimally.
5. Excellent knowledge of SAP ERP (incl. SAP Hana) & SAP BW and its data structure & content.
6. Experience in working with SAP Customized Views.
7. Experience in SAP Data Services and Azure Integration.
8. Experience in SAP ABAP development.
9. Skilled in SQL scripting.
10. Significant experience in SAP Business Objects.
11. Experience in Database and Data Storage Platforms.
12. Experience in developing ETL routines, processes, and structures.
13. Experience in troubleshooting, incident & change management, and transition processes.
14. Creating data catalogues.
15. Identifying Critical Data Elements.
16. Recording data quality business rules.
17. Carrying out data quality assessments.
18. Creating data quality assessment scripts & ETLs.
19. Excellent Organizational skills.
20. Experience with a wide range of IT environments, platforms, and applications.
21. IT Qualification - Degree or equivalent work experience.
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