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Senior Software Developer - ETL JP241

@ Pathlion

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Toronto, Ontario

Temps plein
Postuler
SIGNAUX

En bref

Pathlion is hiring a Senior Software Developer for ETL work on enterprise data pipelines, integrations and reusable data services that support AI and analytics. The role involves building and maintaining scalable ETL/ELT pipelines, data quality controls and cloud/API integrations. The posting states full-time employment and no salary, schedule or location details.

Responsabilités :

  • Design and maintain ETL/ELT pipelines and data integrations
  • Build reusable data pipelines and services for AI and analytics
  • Ingest and transform structured and unstructured data
  • Implement data quality and validation controls
  • Optimize pipelines and support deployment and troubleshooting

Résumé des exigences :

  • Senior-level software development experience
  • Experience with ETL/ELT and data integration
  • Knowledge of cloud platforms, databases and APIs
  • Understanding of data architecture and modelling
  • Collaboration with data scientists and business stakeholders
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
2026-11-04
Première détection par notre source
2026-11-05
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé

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

Postuler
ChampValeur
Offres sur Jobsy82
Description

The Senior Software Developer - ETL will design, build, and maintain scalable data pipelines, integrations, and reusable data services that enable enterprise AI, analytics, and data initiatives.

The role will help improve access to trusted data across enterprise systems, operationalize data architecture and integration patterns, and reduce the time and effort required to onboard data for new AI and analytics use cases.

Key Responsibilities

  • Design, develop, test, and maintain ETL/ELT pipelines and data integration solutions across enterprise data sources.
  • Build reusable data pipelines, services, and integration components that can support multiple AI and analytics use cases.
  • Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
  • Implement data architecture, modelling, and integration patterns established by enterprise architecture.
  • Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
  • Design solutions that support scalability, reliability, performance, monitoring, and maintainability.
  • Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
  • Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
  • Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
  • Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.

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