I
SAP BW
I
SAP BW
Infosys3-5 Years
- Posted 9 hours ago
- Be among the first 10 applicants
Job Description
Good to have skills: SQL, SAP HANA, SAP BW/4HANA, ETL Concepts, Data Warehousing & Dimensional Modeling
Key Responsibilities:
Key Responsibilities:
- Analyze business reporting and analytics requirements and translate them into SAP BW technical designs.
- Develop and enhance SAP BW objects such as InfoProviders, DataStore Objects (DSO/ADSO), InfoObjects, transformations, and process chains.
- Build, schedule, and monitor data loads; troubleshoot failures and ensure timely, accurate data availability.
- Perform performance tuning for data models, queries, and load processes to improve runtime and system stability.
- Support production operations including incident resolution, root-cause analysis, and preventive improvements.
- Collaborate with cross-functional teams to validate data, reconcile results, and maintain data quality standards.
- Create and maintain technical documentation for developed objects, data flows, and operational procedures.
- Contribute to integration activities involving SAP BW and Snowflake, supporting data movement and validation across platforms. Minimum Qualifications:
- Bachelor's or Master's degree (BTECH, MTECH, MCA, MSC) in Computer Science, Information Technology, or a related field.
- 3–5 years of hands-on experience in SAP BW development and support.
- Strong understanding of SAP BW data modeling concepts and end-to-end data loading processes.
- Experience with monitoring and troubleshooting process chains, data loads, and BW objects in production environments.
- Ability to work with stakeholders to clarify requirements and deliver reliable reporting-ready datasets. Preferred Qualifications:
- Experience working with Snowflake Cloud, including supporting data ingestion, validation, and performance considerations in a cloud warehouse.
- Exposure to hybrid data architectures integrating SAP BW with cloud platforms and modern analytics ecosystems.
- Familiarity with SQL for data analysis, reconciliation, and validation across systems.
- Experience improving data quality through checks, controls, and standardized operational practices.
- Strong communication skills with a proven ability to collaborate across technical and business teams and manage multiple priorities effectively.


