Publié il y a 6 mois
Senior Databricks Consultant – Cybersecurity Data Solutions
@ Querentia Inc.
Montréal, Québec
En bref
Querentia Inc. is hiring a Senior Databricks Consultant on a contract basis to build cloud-based data engineering and analytics solutions for cybersecurity and Identity & Access Management initiatives. The role sits in an Agile pod with a delivery lead, analyst/tester and developers, and requires hands-on Databricks and PySpark experience, with Azure preferred and French strongly preferred.
Responsabilités :
- Design and optimize Databricks data engineering and analytics solutions
- Build scalable pipelines using PySpark and Spark
- Develop cloud data processing solutions, primarily on Azure
- Support cybersecurity initiatives including IAM and cyber risk analytics
- Collaborate within an Agile pod on design, testing and deployment
Résumé des exigences :
- Senior Consultant-level data engineering or cloud data experience
- Strong hands-on Databricks experience (mandatory)
- Proficiency in PySpark, Apache Spark and data pipeline development
- Agile or pod-based delivery experience
- French language proficiency strongly preferred
Outils et compétences
Source et dates
Type de source non vérifié · jsonld
- Date publiée par l’employeur
- 2026-05-27
- Première détection par notre source
- 2026-10-26
- Mise à jour du dossier source
- 2026-11-09
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 | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | French |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Querentia Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 331 |
Job Summary
We are seeking a Senior Databricks Consultant to support the development of advanced data solutions focused on cybersecurity and Identity & Access Management (IAM) initiatives. The consultant will work within an Agile pod structure alongside a delivery lead, functional analyst/tester, and development team to design and implement scalable cloud-based analytics and data engineering solutions.
The ideal candidate will bring strong hands-on expertise with Databricks, modern cloud data platforms, and large-scale data pipeline development, with exposure to cybersecurity domains considered a strong asset.
Key Responsibilities
•
Design, develop, and optimize data engineering and analytics solutions using Databricks.
•
Build scalable data pipelines using PySpark and Spark frameworks.
•
Develop cloud-based data processing solutions, primarily within Azure environments.
•
Support cybersecurity-focused initiatives including Identity & Access Management (IAM), cyber risk analytics, and security data processing.
•
Collaborate closely with Agile pod members including delivery leads, analysts, testers, and developers.
•
Participate in solution design, development, testing, deployment, and optimization activities.
•
Troubleshoot technical issues and ensure high-quality solution delivery.
•
Contribute to documentation, knowledge transfer, and continuous improvement initiatives.
Required Qualifications
•
Senior Consultant-level experience in data engineering, analytics, or cloud data solutions.
•
Strong hands-on experience with Databricks (mandatory).
•
Strong proficiency in:
•
PySpark / Apache Spark
•
Data pipeline development
•
Cloud data platforms (Azure preferred)
•
Experience working within Agile or pod-based delivery environments.
•
Strong analytical, troubleshooting, and problem-solving skills.
•
Ability to work independently in collaborative project environments.
Preferred Qualifications
•
Exposure to cybersecurity domains such as:
•
Identity & Access Management (IAM)
•
Cyber risk
•
Security operations or security analytics
•
Experience with cloud-native data architecture and large-scale data processing.
•
French language proficiency strongly preferred.
Key Skills & Competencies
•
Databricks Development
•
PySpark & Apache Spark
•
Azure Cloud Data Engineering
•
Data Pipeline Development
•
Cybersecurity Data Solutions
•
Identity & Access Management (IAM)
•
Agile / Pod-based Delivery
•
Problem Solving & Collaboration
Journal
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