Hyderabad, Chennai, Noida, India | Posted on 10/22/2026
tech carrot is a leading global ITservice provider and partner in digital transformation offering cost-effective,customer-centric, and cutting-edge digital solutions to clients worldwide.
founded in 2016, tech carrot isheadquartered in Dubai, UAE. Being a people-oriented organization with aphilosophy of "We care" as our core DNA, tech carrot continuallyfocuses on new initiatives and strategies to increase overall employeeexperience by providing a plethora of platforms to drive employee development,overall efficiency, increase overall employee satisfaction. With over 200+technology specialists who are engaged and motivated we are growing at 20% a year-on-year since inception.
We offer cutting-edge services across multipleindustries and deliver seamless customer experiences, ensuring high value andrapid growth for our clients. tech carrot has earned wide recognition as areliable partner for organizations across the globe because of its professionalapproach and strong delivery capabilities. The Middle East and Africa arehandled by UAE operations, while APAC is handled by India operations. We havealso expanded in the USA and the Netherlands as well.
Office Location
Hyderabad, Chennai, Noida
Job Description
- 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
- SAP Datasphere Expertise: Hands-onexperience in SAP Datasphere development, support, data modeling, spaces,views, and analytical models.
- Production Support: Experience inL2/L3 support, incident management, troubleshooting, root cause analysis(RCA), and SLA-based issue resolution.
- Data Integration: Knowledge of dataflows, replication flows, task chains, scheduling, and monitoring dataloads.
- SQL and Data Modeling: Strong SQLskills, data transformation logic, query optimization, and troubleshootingdata inconsistencies.
- SAP Source Systems: Experienceintegrating with SAP S/4HANA.
- Data Reconciliation: Ability tovalidate source-to-target data, identify discrepancies, and ensure dataaccuracy and completeness.
- Finance Functional Knowledge (Preferred): Understanding of SAP FI/CO processes, including General Ledger(GL), Accounts Payable (AP), Accounts Receivable (AR), Cost CenterAccounting, and Profitability Analysis.
- Financial Reporting: Knowledge offinance reporting requirements, such as trial balance, P&L, balancesheet, and month-end closing reports.
- SAP Analytics Cloud (Preferred): Exposure to SAC stories, analytical models, reporting, and troubleshootingdata-related issues.