Required skills
- SAP BW/4HANA
- Azure Databricks
- SAP BW
- SAP SLT
- ABAP
- ABAP OO
- Oracle SQL
- Spark SQL
- PySpark
- Data Modeling
- Data Integration
- Agile
Languages: German
Job description
Consulting role focused on analyzing and migrating SAP BW/4HANA and SAP BW 7.5 (on Oracle) to Azure Databricks. The position involves business analysis, technical specification, data modeling, integration, testing, and knowledge transfer.
Project overview
Business analysis and implementation planning including effort estimation in refinements.
Analysis of source code in SAP BW/4HANA and S/4HANA.
Use case analysis and re-engineering of SAP BW 7.5 (on Oracle) to Azure Databricks.
Configuration of SAP SLT and connection of new data sources.
Transfer of business requirements into a technological specification (DevOps).
Consulting on the authorization concept.
Programming and configuration on the target platform: data modeling, data integration, data preparation.
Creation and review of deployment packages, consulting on deployments in acceptance and production environments.
Test cases, test data, test execution, and test reports across all test levels.
Error analysis, bug fixes, impact analysis, and regression tests.
Instruction of the client, early life support.
Knowledge transfer (transition within one month).
Requirements
In-depth experience in analyzing SAP program code (ABAP, ABAP OO).
Confident handling of SAP data structures (tables, views, data dictionary) and underlying data models.
Functional and technical analysis of existing SAP transactions and programs.
Error analysis in SAP (debugging, tracing, performance analysis).
Practical experience in SAP BW: analysis of data flows (DataSources, InfoProviders, transformations, DTPs).
Oracle SQL: analysis of complex statements (joins, aggregations, subselects, views).
Several years of experience with SAP SLT: conception, configuration, and operation of replication scenarios, replication rules, error and performance analysis, integration into landscapes with multiple source and target systems.
Azure Databricks: implementation of program logic in notebooks with Spark SQL and PySpark for large data volumes.
Faithful transfer of SAP/BW/Oracle logic to Databricks workloads including testing, documentation, and performance optimization.
Experience with Azure components in the Databricks environment (Storage, Identity/Access Management, Cluster Configuration).
Agile collaboration (refinements, estimations, planning based on features/user stories).
Additional Information:
Project No.: 1085034
Job Type: On-site
Project details
Start: 01.01.2027 Duration: 1 year++
- Start: 01.01.2027
- Duration: 1 Jahr++
- Location: DE
- Languages: German
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