Enhancement Concept BAPI, BADI, BTE and User Exits Smart Forms SAP Solution Manager Toolsets: ITSM Suite Solution architecture, design, and development Data Modelling Excellent debugging and troubleshooting skills responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS Functional skills
efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically
BW / SAP SAC. Data Modelling and data engineering skills. SAP BW 7.5 Data Modelling and BEX skills SAP SAP BW4/HANA Data Modelling skills SAP BW4/HANA Query Modelling skills Any additional responsibilities responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS TECHNICAL SKILLS SAP Analysis for Office
medium term forecast via the internal forecasting model to ensure that the forecast is accurate and reflective evaluate possible risks and opportunities for new model introductions. Prepare volume studies for FBU and Excel to ensure that risks and opportunities of model introductions are highlighted. Prepare input MPL them to continue with their leg of the process. Model mix analysis to evaluate financial impact versus forecasting model, without it impacting on demand. Run-in and run-out planning of model types and model derivatives
medium term forecast via the internal forecasting model to ensure that the forecast is accurate and reflective evaluate possible risks and opportunities for new model introductions. Prepare volume studies for FBU and Excel to ensure that risks and opportunities of model introductions are highlighted. Prepare input MPL them to continue with their leg of the process. Model mix analysis to evaluate financial impact versus forecasting model, without it impacting on demand. Run-in and run-out planning of model types and model derivatives
Agile Working Model. Any additional responsibilities assigned in the Agile Working Model (AWM) Charter TECHNICAL SKILLS Demonstrate expertise in data modelling Oracle SQL. Exceptional analytical skills analysing Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka
Integrations, Automations, Data Management, Data Modeling. You will collaborate with the Business Intelligence various sources into an analytics-ready data model. This model will be built on the premise of growth as Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations with other best practices and processes. Design agile data models. Implement meta-data driven ELT/ELT data pipelines actionable manner. Familiarity in data mapping, data modeling and data management Familiarity with Agile methodology
Integrations, Automations, Data Management, Data Modeling. You will collaborate with the Business Intelligence various sources into an analytics-ready data model. This model will be built on the premise of growth as Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations with other best practices and processes. Design agile data models. Implement meta-data driven ELT/ELT data pipelines actionable manner. Familiarity in data mapping, data modeling and data management Familiarity with Agile methodology
Behaviour-Driven Development (BDD), Page Object Model (POM), Test-Driven Development (TDD), as well as within the context of an agile/DevOps delivery model. Interpretation of Testing Results and logging and responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS DevOps experience: elicitation, documentation. Business process modelling, data modelling IT Architecture: Cloud Architecture, On-prem/hybrid
TECHNICAL SKILLS Demonstrate expertise in data modelling Oracle SQL. Exceptional analytical skills analysing Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka network issues. Knowledge of the Agile Working Model