SAP BI / Datasphere / SAP BDC Developer

Experience: 5–8 Years
Work Location: Hyderabad
Work Mode: Hybrid / On-site
Working Timings :IST Timings
Employment Type: Contract – Renewable Every 3 Months
Interview Process: 3 Rounds – 2 Remote + 1 In-Person
Background Verification: Mandatory upon selection
Job Summary
Ampleopp Solutions is looking for an experienced SAP BI / Datasphere / SAP BDC Developer with 5–8 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 data from SAP S/4HANA to SAP Datasphere / SAP BW.
Work with S/4HANA tables, CDS Views, and data sources.
Develop and maintain data extraction and integration processes.
Perform data validation and reconciliation.
SAP BI / BW / BW4HANA
Develop and maintain BW/BW4HANA data models and data flows.
Work with ADSO, CompositeProviders, Transformations, DataSources, and DTPs.
Develop ETL processes and troubleshoot data-load issues.
Support BW modernization and migration to Datasphere.
SAP Datasphere
Develop Spaces, Views, Data Flows, and Analytical Models.
Build scalable data models for reporting and analytics.
Implement SAP and non-SAP data integration.
Work with federation, replication, and transformation.
Optimize data models and ensure data quality.
SAP Analytics Cloud (SAC)
Develop dashboards, Stories, and analytical applications.
Build SAC solutions using Datasphere/BW models.
Configure Live and Import connections.
Develop calculations, filters, and analytical components.
SAP Databricks / Data Engineering
Develop data pipelines using SAP Databricks / Databricks.
Work with SQL, Python, PySpark, and Apache Spark.
Perform data transformation, cleansing, and enrichment.
Implement data-quality checks and optimize data-processing jobs.
SAP Business Data Cloud (BDC)
Support SAP Business Data Cloud solutions involving Datasphere, Databricks, and SAC.
Integrate SAP and non-SAP data sources.
Support BDC data products and analytical use cases.
Participate in BDC implementation and troubleshoot data-integration issues.

Work arrangement
No