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Première détection par notre source: il y a 10 heures

SAP BDC / Datasphere Consultant

@ BULL TECHNICAL SERVICES LIMITED

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Toronto, Ontario

Temps plein
Postuler
SIGNAUX

En bref

BULL TECHNICAL SERVICES LIMITED is hiring a full-time SAP BDC / Datasphere Consultant to design data architectures, build analytics solutions and integrate SAP and non-SAP systems. The role centres on SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud and SAP HANA.

Responsabilités :

  • Design data architecture and models in SAP BDC and Datasphere
  • Build data pipelines and integrations between SAP and non-SAP systems
  • Develop SAC analytical models and enterprise dashboards
  • Apply governance, security and performance best practices

Résumé des exigences :

  • Hands-on SAP Datasphere data modeling and data flows
  • Experience with SAP Analytics Cloud reporting
  • Strong SAP HANA data warehousing skills
  • Integration of SAP BW/HANA with SAP Datasphere
  • Hands-on Snowflake exposure
  • Strong SQL and data modeling expertise

Outils et compétences

SAP Business Data CloudSAP DatasphereSAP Analytics CloudSAP HANASAP BWSnowflake
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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BULL TECHNICAL SERVICES LIMITED

Toutes ses offres
ChampValeur
Offres sur Jobsy8
Description

SAP BDC / Datasphere Consultant

Job Overview

We are looking for an experienced SAP BDC / Datasphere Consultant with strong expertise in SAP data and analytics platforms. The ideal candidate will have hands-on experience with SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), SAP HANA,

This role will focus on designing scalable data architectures, building analytics solutions, integrating SAP and non-SAP systems, and delivering enterprise reporting platforms that support business decision-making.

Key Responsibilities

• Design and develop data architecture and data models in SAP Business Data Cloud (BDC) and SAP Datasphere.

• Build and manage data pipelines, data flows, and integrations between SAP and non-SAP systems.

• Develop analytical models using SAP Analytics Cloud (SAC).

• Implement data integration solutions connecting SAP Datasphere with SAP BW, SAP HANA, Snowflake, and external data platforms.

• Develop enterprise reporting solutions, dashboards, and analytics models for business stakeholders.

• Implement data ingestion, transformation, and harmonization processes across multiple data sources.

• Work closely with business teams, data engineers, and solution architects to gather requirements and deliver scalable solutions.

• Apply best practices in data governance, security, performance optimization, and data quality management.

• Support troubleshooting, performance tuning, and platform optimization.

Required Technical Skills

• Strong knowledge of SAP Business Data Cloud (BDC) architecture and components.

• Hands-on experience with SAP Datasphere (Data Modeling, Data Flows, Data Virtualization).

• Experience with SAP Analytics Cloud (SAC) for reporting, dashboards.

• Strong experience with SAP HANA for data warehousing and data modeling.

• Experience integrating SAP BW/HANA and SAP Datasphere.

• Hands-on exposure to Snowflake for data processing and analytics.

• Strong SQL skills and data modeling expertise.

• Knowledge of modern data warehouse architecture and analytics platforms.

Nice to Have Skills

• Experience with SAP Business Technology Platform (BTP).

• Experience with cloud data platforms and hybrid data architectures.

• Knowledge of data governance and enterprise data management frameworks.

• Experience with data lake or Lakehouse architecture.

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