SAP BW Developer

Infosys; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys in Bengaluru, India is seeking a SAP BW developer with experience in Snowflake integration to design, build, and optimize BW data models and data loading processes. You will work with cross-functional teams to ensure data quality and timely reporting.

The role emphasizes performance tuning, data validation, and ongoing production support, with opportunities to contribute to cloud-enabled analytics initiatives.

Qualifications

• Bachelor's or Master's degree in CS/IT or related field.
• 3-5 years hands-on SAP BW development and support.
• Strong understanding of SAP BW data modeling and end-to-end loading processes.
• Experience with monitoring and troubleshooting BW processes in production environments.
• Ability to work with stakeholders to clarify requirements and deliver reliable reporting-ready datasets.

Responsibilities

• Analyze business reporting requirements and translate into SAP BW technical designs.
• Develop and enhance SAP BW objects such as InfoProviders, DSOs/ADSOs, InfoObjects, transformations, and process chains.
• Build, schedule, and monitor data loads; troubleshoot failures and ensure timely data availability.
• Perform performance tuning for data models, queries, and load processes to improve runtime and stability.
• Support production operations including incident resolution and root-cause analysis.
• Collaborate with cross-functional teams to validate data and maintain data quality standards.
• Create and maintain technical documentation for developed objects and data flows.
• Contribute to integration activities involving SAP BW and Snowflake, supporting data movement across platforms.

Skills

SQL

SAP HANA

SAP BW/4HANA

ETL Concepts

Data Warehousing

Dimensional Modeling

Education

Bachelors or Masters degree in CS/IT

Tools

Snowflake Cloud

Job description

SAP BW Good to have skills: SQL, SAP HANA, SAP BW/4HANA, ETL Concepts, Data Warehousing & Dimensional Modeling

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.

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.