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Zodiac Solutions, IncSource d’offres vérifiée

Cloud Data Engineer

Offre en anglais

Design and maintain scalable cloud-based data pipelines and platforms for batch and real-time processing. Ensure data quality, security, and governance while supporting AI/ML and business intelligence initiatives.

  • Sur place
  • Toronto, ON
  • Publié 27 août 2026
  • Postuler avant le 26 sept. 2026
  • 1 poste

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Résumé du poste

"• Design, develop, and maintain scalable data pipelines for batch and real-time data processing. • Build and manage cloud-based data platforms using AWS, Azure, or Google Cloud. • Develop ETLELT processes to extract, transform, and load data from multiple sources. • Create and optimize data lakes, data warehouses, and data marts. • Ensure data quality, integrity, security, and compliance across data platforms. • Implement data integration solutions using cloud-native services and big data technologies. • Monitor and troubleshoot data pipeline performance and resolve production issues. • Collaborate with business analysts, data scientists, architects, and application teams to understand data requirements. • Optimize data storage and processing for performance and cost efficiency. • Implement automation, CICD, and Infrastructure as Code (IaC) practices for data platforms. • Manage metadata, data lineage, and data governance processes. • Support reporting, analytics, AIML, and business intelligence initiatives by providing reliable data solutions. "

Ce que vous ferez

Design and maintain scalable cloud-based data pipelines and platforms for batch and real-time processing. Ensure data quality, security, and governance while supporting AI/ML and business intelligence initiatives.

Exigences

Requires expertise in cloud platforms like AWS, Azure, or GCP and the ability to implement ETL/ELT processes. Candidates should be proficient in automation, CI/CD, and Infrastructure as Code practices.

Compétences indiquées

  • Microsoft AzureSouhaitée
  • SQLSouhaitée
  • CI/CDSouhaitée
  • Amazon Web ServicesSouhaitée
  • Google CloudSouhaitée
  • PythonSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Cloud Data Engineering
  • AWS
  • Azure
  • Google Cloud
  • ETL/ELT
  • Data Lake
  • Data Warehouse
  • Data Mart
  • Big Data Technologies
  • CI/CD
  • Infrastructure as Code
  • Data Governance
  • Data Integration
  • Python
  • SQL
  • Data Pipeline Design

Domaines d’emploi

  • Data & Analytics
  • Technology
  • Engineering
  • Software
  • Consulting

Renseignements supplémentaires

Expérience minimale
5+ ans
Postuler avant le
26 sept. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level
Mode de candidature
La candidature directe est offerte