- Provide L2/L3 production support for SAP Datasphere, ensuring timely incident resolution, troubleshooting, root cause analysis (RCA), and adherence to SLAs.
- Develop, maintain, and support SAP Datasphere data models, spaces, views, and analytical models based on business and reporting requirements
- Manage data integration from SAP source systems, particularly SAP S/4HANA, using data flows, replication flows, and task chains.
- Monitor scheduled data loads, identify failures, troubleshoot integration issues, and ensure data availability and consistency.
- Write and optimize SQL queries and data transformation logic to support efficient data processing and reporting.
- Perform source-to-target data reconciliation and validation to identify discrepancies and ensure data accuracy, completeness, and consistency.
- Investigate data inconsistencies and performance issues, implement corrective actions, and recommend improvements to data models and data flows.
- Support finance-related data and reporting requirements, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Cost Center Accounting, and Profitability Analysis.
- Validate financial reports and datasets used for trial balance, Profit and Loss (P&L;), balance sheet, and month-end closing activities.
- Collaborate with functional teams, business users, and technical stakeholders to understand issues, assess business impact, and deliver effective solutions.
- Maintain technical documentation, incident logs, RCA reports,



and support procedures, ensuring compliance with support processes.
- Provide support for SAP Analytics Cloud (SAC) analytical models, stories, and reporting issues, ensuring accurate data consumption and presentation.

Requirements

1. SAP Datasphere Expertise: Hands-on experience in SAP Datasphere development, support, data modeling, spaces, views, and analytical models.
2. Production Support: Experience in L2/L3 support, incident management, troubleshooting, root cause analysis (RCA), and SLA-based issue resolution.
3. Data Integration: Knowledge of data flows, replication flows, task chains, scheduling, and monitoring data loads.
4. SQL and Data Modeling: Robust SQL skills, data transformation logic, query optimization, and troubleshooting data inconsistencies.
5. SAP Source Systems: Experience integrating with SAP S/4HANA.
6. Data Reconciliation: Ability to validate source-to-target data, identify discrepancies, and ensure data accuracy and completeness.
7. Finance Functional Knowledge (Preferred): Understanding of SAP FI/CO processes, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Cost Center Accounting, and Profitability Analysis.
8. Financial Reporting: Knowledge of finance reporting requirements, such as trial balance, P&L;, balance sheet, and month-end closing reports.
9. SAP Analytics Cloud (Preferred): Exposure to SAC stories, analytical models, reporting, and troubleshooting data-related issues.

📌 SAP Datasphere Consultant (Hyderabad)
🏢 Techcarrot Fz
📍 Hyderabad