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Salary
≈ $16k – $38k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Oct 1, 2026.

Overview
Company
Impact
Profile match
NexOp provides dedicated offshore NOC, SOC, and Tier-1 Helpdesk teams for MSPs and enterprise IT. Launch faster, stay secure, and scale without in-house overhead.

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 modelling, transformation, analytics, and reporting, with the ability to work across traditional SAP BI/BW and modern SAP Business Data Cloud environments.

The candidate will have responsibilities across the following functions:

SAP S/4HANA and 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 ADSOs, CompositeProviders, Transformations, DataSources, and DTPs.
  • Develop ETL processes and troubleshoot data-load issues.
  • Support BW modernisation 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.
  • Optimise 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 optimise 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.

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
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