SAP BW with SAC_Datasphere / Databricks - Bangalore/Remote

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Work Location: Bangalore (Hybrid)

Bangalore Office: GyanSys Infotech, Prestige ShantiNiketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048.

Job Title SAP BW with SAC/Datasphere

Notice Period: Immediateonly.

Experience: 9 - 12 Yrs - Relevant Experience in SAP

Job Description as follows:

We are seeking a Lead SAP BW Consultant with over a decade of experience to drive our enterprise data warehousing strategy. You will own the architecture, development, and optimization of our data pipelines. Your primary focus will be SAP BW 7.5, paired with expert-level, independent ABAP development skills. You will bridge our legacy data structures with modern cloud solutions, leveraging Databricks and SAP Datasphere.

Key Responsibilities

• Architecture & Development: Design and maintain complex SAP BW 7.5 data models, InfoCubes, Advanced DataStore Objects (aDSOs), and Composite Providers.
• Custom ABAP Engineering: Write, debug, and optimize complex ABAP code independently for transformations, routines, extractors, and BEx variables without external technical support.
• Data Integration: Build and manage data ingestion pipelines using Databricks to connect SAP and non-SAP cloud data environments.
• Modernization: Lead the design and integration of SAP Datasphere to transition legacy BW structures into modern cloud data ecosystems.
• Performance Tuning: Troubleshoot and optimize query performance, process chains, and data load bottlenecks.

Required Skills & Qualifications

• Experience: Minimum 10 years of hands-on experience in SAP BW backend implementation and production support.
• Core Expertise: Deep technical mastery of SAP BW 7.5 (on HANA or NetWeaver).
• ABAP Independence: Expert proficiency in ABAP programming specifically for BW (Start/Routine/End routines, customer exits, and BAdIs) with a track record of independent delivery.
• Modern Data Platforms: Strong foundational understanding of Databricks architecture, Delta Lake, and basic data processing frameworks.
• Data Modeling: Proven experience building efficient, scalable corporate memory and reporting layers.

Preferred Qualifications (Nice-to-Have)

• Hands-on experience in SAP Datasphere (formerly Data Warehouse Cloud).
• Experience with SAP BW/4HANA migrations.
• Basic knowledge of SQL, Python, or PySpark within Databricks environments.