Publié il y a 21 jours
Mostly Remote! Business Intelligence Specialist - Senior, 6 months contract
@ Dimensional Tech Inc.
Toronto, Ontario
En bref
Dimensional Tech Inc. is hiring a Senior Business Intelligence Specialist on a six-month contract based in Toronto, mostly remote. The role builds and maintains data pipelines from Oracle and AWS sources into Amazon Redshift, dimensional models, and Power BI reporting, including healthcare data standards such as Ontario HRM, FHIR and HL7 v2. The contract runs from November 23, 2026 to May 20, 2027, with one opening.
Responsabilités :
- Build pipelines from Oracle and AWS sources using Python, Glue and DMS
- Design Redshift staging layers, dimensional models and star schemas
- Develop Power BI dashboards, semantic models and data-quality reports
- Map healthcare data (HRM, FHIR, HL7 v2) to consistent analytical metrics
Résumé des exigences :
- Senior experience with complex SQL and Oracle source analysis
- Amazon Redshift and dimensional modelling experience
- Power BI development with DAX and Power Query
- Healthcare data experience with Ontario HRM, FHIR and HL7 v2
Outils et compétences
Source et dates
Type de source non vérifié · crelate
- Date publiée par l’employeur
- 2026-10-21
- Première détection par notre source
- 2026-10-21
- Mise à jour du dossier source
- 2026-11-07
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Dimensional Tech Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 172 |
• Location: Toronto, Ontario
• Duration: 2026-11-23 to 2027-05-20 ( 124 days)
• Job Type: Mostly Remote
• Openings: 1
Requirements:
• Oracle, Python, AWS Glue Python Shell, and AWS DMS experience, including complex SQL, source-data analysis, extraction, transformation, incremental loading, validation, reconciliation, and production support.
• Amazon Redshift and dimensional-modelling experience, including staging layers, fact and dimension structures, star schemas, views or materialized views, SQL optimization, and reporting-layer performance tuning.
• Power BI development experience, including semantic modelling, DAX, Power Query, dashboards, operational metrics, data-quality reporting, refresh processes, security, and performance optimization.
• Healthcare-data experience involving the Ontario HRM Standard, FHIR data structures, and HL7 v2 data structures, including mapping source data to consistent analytical definitions and metrics.
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