SAP BI / Datasphere / SAP BDC Developer

SAP BI / Datasphere / SAP BDC Developer
Ampleopp Solutions
Experience5-8 Years

Base LocationHyderabad

**Work Locations ( Client Request )**Hyderabad / Pune / Bangalore

Work ModeHybrid / On-site

Working TimingsIST Timings

Employment TypeContract ( Renewable Every 3 Months)

Interview Process3 Rounds (2 Remote + 1 In-Person)

Background VerificationMandatory upon selection

Job Summary
Ampleopp Solutions is looking for an experienced SAP BI / Datasphere / SAP BDC Developer with 5 to 8 years of experience in SAP Data & Analytics. The candidate will work on modern SAP data and analytics solutions involving SAP S/4HANA, SAP BW/BW4HANA, SAP Datasphere, SAP Analytics Cloud (SAC), and SAP Databricks. The role requires strong hands-on experience in data extraction, data integration, data modeling, transformation, analytics, and reporting, with the ability to work across traditional SAP BI/BW and modern SAP Business Data Cloud environments.
Key Technologies

• SAP S/4HANA
• SAP BW / BW4HANA
• SAP Datasphere
• SAP Analytics Cloud (SAC)
• SAP Databricks
• SAP Business Data Cloud (BDC)
• SQL
• Python / PySpark
• Data Modeling
• Data Integration
• CDS Views

Key Responsibilities
SAP S/4HANA & Data Extraction

• Extract and integrate business data from SAP S/4HANA into SAP Datasphere / SAP BW.
• Work with S/4HANA tables, CDS Views, and relevant business data sources.
• Develop and maintain data extraction and integration processes.
• Perform data validation and reconciliation between source and target systems.

SAP BI / BW / BW4HANA

• Develop and maintain SAP BI/BW/BW4HANA data models and data flows.
• Work with ADSOs, CompositeProviders, Transformations, DataSources, and related BW objects.
• Develop data extraction, transformation, and loading processes.
• Troubleshoot data loads, transformations, and reporting issues.
• Support migration or modernization of existing SAP BI/BW solutions to Datasphere where required.

SAP Datasphere

• Design and develop SAP Datasphere Spaces, Views, Data Flows, and Analytical Models.
• Develop scalable data models for reporting and analytics.
• Implement data integration from SAP and non-SAP sources.
• Work with federation, replication, and transformation scenarios.
• Optimize data models and queries for performance.
• Implement data validation and data-quality processes.

SAP Analytics Cloud (SAC)

• Develop dashboards, stories, and analytical applications using SAP Analytics Cloud.
• Build SAC solutions using Datasphere/BW data models.
• Develop calculated measures, dimensions, filters, and analytical components.
• Configure Live and Import data connections.
• Work with business users to understand reporting requirements and develop analytical solutions.

SAP Databricks / Data Engineering

• Develop data engineering solutions using SAP Databricks.
• Build data ingestion and transformation pipelines.
• Work with SQL, Python, PySpark, and Apache Spark.
• Perform data cleansing, transformation, and enrichment.
• Implement data-quality checks and validation.
• Optimize data-processing jobs and SQL queries.

SAP Business Data Cloud

• Support modern SAP Business Data Cloud solutions involving Datasphere, Databricks, and SAC.
• Integrate SAP and non-SAP data sources.
• Support data products and analytical use cases.
• Participate in BDC solution design and implementation activities.
• Troubleshoot integration and data-flow issues across the SAP data landscape.

End-to-End Data Landscape
The candidate may work across different data flows depending on the project:

• S/4HANA SAP BW/BW4HANA Datasphere SAC
• S/4HANA Datasphere Databricks Datasphere SAC
• SAP / Non-SAP Sources Databricks / Datasphere SAC

Required Skills
Must Have

• 5 to 8 years of experience in SAP BI / Data & Analytics.
• Strong hands-on experience in SAP Datasphere.
• Experience with SAP S/4HANA data extraction and integration.
• Strong knowledge of data modeling and data integration.
• Good SQL skills.
• Experience with SAP BI/BW/BW4HANA or strong SAP Datasphere experience.
• Experience with SAP Analytics Cloud (SAC) is preferred.
• Strong analytical and problem-solving skills.

Good to Have

• SAP Databricks
• Python / PySpark
• SAP Business Data Cloud
• SAP HANA / HANA Cloud
• CDS Views
• SAP BTP
• APIs / OData
• Delta Lake / Lakehouse concepts
• Data governance and security
• SAP Datasphere / SAC certifications

Preferred Candidate Profile
We are particularly interested in candidates who have experience across multiple components of the SAP Data & Analytics ecosystem, such as:

• SAP BI/BW + Datasphere + SAC
• S/4HANA + Datasphere + SAC
• Datasphere + Databricks + SAC
• S/4HANA + Datasphere + Databricks

Direct SAP Business Data Cloud experience is an advantage but is not mandatory.

Application
Interested candidates can share their updated resume with the recruitment team. Please mention your relevant experience in SAP Datasphere, SAP BI/BW, SAC, Databricks, S/4HANA data extraction, and SAP BDC, where applicable.