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Publié il y a 4 mois

Senior ML Engineer – Lead

@ Querentia Inc.

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Brampton, Ontario

Contrat
Postuler
SIGNAUX

En bref

Querentia Inc. is hiring a Senior ML Engineer - Lead on a contract basis to design and build scalable data and machine learning solutions on Azure. The work covers data pipelines, ETL/ELT with Databricks and PySpark, and leading a team of 10-15 engineers.

Responsabilités :

  • Design and maintain scalable data pipelines using Azure Data Factory
  • Build ETL/ELT solutions with Azure Databricks and PySpark
  • Develop data architectures supporting machine learning and analytics
  • Lead and mentor a team of 10-15 engineers

Résumé des exigences :

  • Hands-on experience with Azure Data Factory, Databricks, Azure ML, PySpark, Python and SQL
  • Experience with Azure Security, DevOps and cloud data platforms
  • Strong understanding of Spark and modern data engineering
  • Proven experience leading high-performing engineering teams

Outils et compétences

Azure Data FactoryAzure DatabricksAzure Machine LearningPySparkPythonSQLSpark
Source et dates

Type de source non vérifié · jsonld

Date publiée par l’employeur
2026-07-26
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

NiveauChef d’équipe
DomaineDéveloppement logiciel
Gestion d’équipeOui
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 Jobsy331
Description

Role: Senior ML Engineer - Lead

Job Summary

We are seeking a Senior ML Engineer - Lead to design, build, and optimize scalable data and machine learning solutions on Azure. The ideal candidate will have strong expertise in Azure Data Factory, Azure Databricks, Azure Machine Learning, PySpark, SQL, and Python , along with proven leadership experience managing technical teams.

Key Responsibilities

•

Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) .

•

Build ETL/ELT solutions using Azure Databricks and PySpark .

•

Develop and optimize data architectures to support machine learning and analytics.

•

Build infrastructure for data extraction, transformation, and loading using Azure big data technologies.

•

Collaborate with Product, Data Science, Design, and business stakeholders to deliver data-driven solutions.

•

Develop data tools and platforms to support analytics and machine learning initiatives.

•

Ensure performance, scalability, security, and reliability of Azure data solutions.

•

Lead and mentor a team of 10-15 engineers while driving technical delivery.

Required Skills & Experience

•

Strong hands-on experience with:

•

Azure Data Factory (ADF)

•

Azure Databricks

•

Azure Machine Learning

•

PySpark

•

Python

•

SQL

•

Experience with Azure Security , DevOps , and cloud-based data platforms.

•

Exposure to AWS is an asset.

•

Strong understanding of Spark and modern data engineering practices.

•

Excellent leadership, presentation, stakeholder management, and communication skills.

•

Proven experience leading high-performing engineering teams.

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