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SAP BW
  • Posted 9 hours ago
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Job Description

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

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.

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