Job Openings SAP BW/4HANA

About the job SAP BW/4HANA

Skillset

  • Skills: Azure SQL/T-SQL, Azure Data Factory, Azure Function apps, Azure Blob

Responsibilities:

Overall, around 7 years of experience in the implementation of SAP Analytics.

Responsibilities

  • Collaborate with business and IT to understand the business requirements for BW/HANA & ABAP topics.
  • Specify security requirements and approaches to data for adherence.
  • Define and promote best practice methodologies.
  • Ensure solutions are aligned with the major stakeholders for KPI standards and roadmap.
  • Experience in writing requirements documents, functional/technical specifications, and any other documentation that might be required as part of the project.
  • Coordinate with business users and other IT teams/departments to design and develop complex requirements.
  • Implement/use guidelines for project, process, and architecture.
  • Maintain a clear understanding of the potential impacts of proposed solutions on the other areas of the system and/or project.
  • Using automation techniques and reducing the overall time of the project
  • Implement full project life cycle.

SAP BW/HANA:

  • Work experience in all three phases - BW Reporting, Extraction, and Modeling with at least 2 end-to-end implementations.
  • Experience in working with ADSOs (all types), composite providers, BeX query, and Analysis for office.
  • Should have very strong experience in ABAP skills like Start, End, Expert, Field level Routines, custom-built Extractors, and debugging skills where required.
  • Experience in working with HANA views, AMDP procedures, ABAP-OOPs, and hybrid architecture.
  • Integrating both SAP and non-SAP source systems
  • Knowledge of connectors like SDA/SDI
  • Exposing models or queries as Odata for external consumption
  • Consuming external APIs into BW models

SAP Datasphere:

  • Ability to design & implement complex dataflows.
  • Writing transformations using Python scripts
  • Ability to design & implement complex dataflows.
  • Writing transformations using Python scripts
  • Creating views and exposing them for consumption to SAP Analytics Cloud
  • Consuming HDI containers in Datasphere
  • Exposing the Datasphere model to AI algorithms
  • Exposing the Datasphere model to third-party tools

SAP Analytics Cloud:

  • Hands-on experience in SAC (including Planning), and designing/implementing data models.
  • Good Understanding of SAP data structures, forecasting, and analytical applications.
  • Excellent CSS Scripting abilities. Ability to exhibit and follow standard coding and naming conventions and a top-down approach.
  • Strong hands-on experience in SAC connectivity, integration with SAP cloud connector, Authorization concept (Users, roles, team), and governance
  • Knowledge of SAC predictive capabilities, Augmented analytics

Interpersonal & Communication:

  • Effective communication skills and knowledge to close communication gaps through proper channels
  • Excellent verbal and written communication ability to connect technical solutions to business needs, problem-solving skills

Desirable skills

  • Good ability to anticipate issues and formulate remedial actions.
  • Sound interpersonal and teamwork skills.

Sound Knowledge of unit testing methodologies and frameworks


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