Postuler

Publié il y a 6 mois

Senior Databricks Consultant – Cybersecurity Data Solutions

@ Querentia Inc.

Montréal, Québec

Contrat
Postuler
SIGNAUX

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

NiveauSenior
DomaineDonnées et analytique
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesFrench

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

ChampValeur
Offres sur Jobsy331
Description

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

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