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Publié il y a 3 jours

Senior Data Engineer

@ J&M Group

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Toronto, Ontario

Temps plein

SIGNAUX

En bref

J&M Group is hiring a Senior Data Engineer, a full-time role. The work centres on building and operating AWS-based data platforms and pipelines, using Spark, Hudi, Iceberg and Airflow. Candidates need strong Python, Terraform and CI/CD skills.

Responsabilités :

Build and operate AWS-based data platforms and pipelines
Develop distributed data processing with Spark and PySpark
Implement modern data lake solutions using Hudi or Iceberg
Automate infrastructure and deployments with Terraform and CI/CD

Résumé des exigences :

Hands-on AWS data platform and pipeline experience
Advanced Apache Spark and PySpark expertise
Hudi or Iceberg data lake experience
Strong Python and Git-based software engineering practices
Airflow or comparable orchestration experience

Outils et compétences

AWS Apache Spark PySpark Apache Hudi Apache Iceberg Python Apache Airflow Terraform Git

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur: 2026-11-10
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

Niveau	Senior
Domaine	Données et analytique
Heures par semaine	40 (estimé)
Milieu de travail	Bureau
Position	Surtout assis
Exigences physiques	physique faible · ordinateur élevé

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

J&M Group

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Champ	Valeur
Offres sur Jobsy	88

Description

Strong hands-on experience building and operating AWS-based data platforms and data pipelines.
Advanced expertise with Apache Spark, PySpark, distributed data processing, and performance optimization.
Experience with modern data lake technologies, particularly Apache Hudi and Apache Iceberg.
Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.
Hands-on experience with Apache Airflow or comparable workflow orchestration platforms.
Experience with Terraform, CI/CD pipelines, and infrastructure automation.
Ability to independently translate business requirements into production-ready data solutions.

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