T&T | ET&P | SAP | Senior Consultant | SAP Datasphere | Pune |

T&T | ET&P | SAP | Senior Consultant | SAP Datasphere | Pune |

13 Nov
|
Deloitte
|
Pune

13 Nov

Deloitte

Pune

T&T; | ET&P; | SAP | Senior Consultant | SAP Datasphere | Pune |
• Job requisition ID : 115011
• Location: Pune
• Entity: Deloitte Touche Tohmatsu India LLP

The Team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P;

Your work profile

- Seeking a Senior SAP Datasphere Consultant with deep expertise in end-to-end data modeling and solution design using Graphical Views, SQL Views, Analytical Models, and Business Entities.
- Strong proficiency in SQL scripting for complex calculations, advanced transformations, reusable functions, and performance-oriented logic in Datasphere.
- Proven experience in architecting data models that balance performance, scalability, and business requirements while ensuring adherence to SAP best practices.
- Expertise in performance tuning and optimization, including query pruning, partitioning, semantic modeling, and handling large-scale data sets.
- Hands-on experience in integrating Datasphere with multiple source systems (S/4HANA, ECC, BW/4HANA, CRM, SuccessFactors, and third-party sources) for reporting and analytics use cases.
- Strong knowledge of data provisioning/integration tools such as SDI, SDA, SLT, and Cloud Connectors for real-time and batch data movement.
- Experience in transport management, landscape governance, and version control for Datasphere artifacts.
- Good exposure to reporting and consumption layers, particularly SAP Analytics Cloud (SAC), Analysis for Office (AFO), or Power BI.
- Ability to work closely with business stakeholders, gather requirements, translate them into technical designs, and provide solution recommendations.
- Mentoring and guiding junior team members, conducting code reviews, and ensuring adherence to modeling standards.
- Excellent communication, client-facing,



and leadership skills with proven ability to work in global delivery environments.

Key Skill required

- Relevant Experience Required: 5-8 years in SAP Datasphere
- Deep expertise in end-to-end data modeling and solution design using Graphical Views, SQL Views, Analytical Models, and Business Entities.
- Strong proficiency in SQL scripting for complex calculations, advanced transformations, reusable functions, and performance-oriented logic in Datasphere.
- Proven experience in architecting data models that balance performance, scalability, and business requirements while ensuring adherence to SAP best practices.
- Expertise in performance tuning and optimization, including query pruning, partitioning, semantic modeling, and handling large-scale data sets.
- Hands-on experience in integrating Datasphere with multiple source systems (S/4HANA, ECC, BW/4HANA, CRM, SuccessFactors, and third-party sources) for reporting and analytics use cases.
- Strong knowledge of data provisioning/integration tools such as SDI, SDA, SLT, and Cloud Connectors for real-time and batch data movement.
- Experience in transport management, landscape governance, and version control for Datasphere artifacts.
- Positive exposure to reporting and consumption layers, particularly SAP Analytics Cloud (SAC), Analysis for Office (AFO), or Power BI.
- Ability to work closely with business stakeholders, gather requirements, translate them into technical designs, and provide solution recommendations.
- Mentoring and guiding junior team members, conducting code reviews, and ensuring adherence to modeling standards.
- Excellent communication, client-facing, and leadership skills with proven ability to work in global delivery environments.

Good to have:

- Exposure to planning models in SAC, Data Marketplace integration, or multi-cloud data integration scenarios.

Qualifications

- Bachelor's Degree/Masters/MBA/PGDM/CA/CMA

📌 T&T | ET&P | SAP | Senior Consultant | SAP Datasphere | Pune |
🏢 Deloitte
📍 Pune

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