ML Engineer

Résumé du poste

We're looking for an ML Engineer with strong Azure data engineering and machine learning experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate brings hands-on expertise across Azure Data Factory, Databricks, and PySpark, and is comfortable working with cross-functional stakeholders to support data-driven initiatives. What You'll Do Design and maintain optimal data pipeline architecture using Azure Data Factory Build and manage ETL workflows through Azure Databricks with a strong understanding of the Spark framework Assemble large, complex…

Détails du poste

We're looking for an ML Engineer with strong Azure data engineering and machine learning experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate brings hands-on expertise across Azure Data Factory, Databricks, and PySpark, and is comfortable working with cross-functional stakeholders to support data-driven initiatives. What You'll Do Design and maintain optimal data pipeline architecture using Azure Data Factory Build and manage ETL workflows through Azure Databricks with a strong understanding of the Spark framework Assemble large, complex datasets that meet functional and non-functional business requirements Build infrastructure for optimal extraction, transformation, and loading of data from diverse sources using SQL and Azure big data technologies Create data tools to support analytics and data science teams in optimizing products and workflows Work with stakeholders across executive, product, data, and design teams to address data-related technical needs Collaborate with data and analytics experts to improve functionality and scalability of data systems What You Bring Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Machine Learning Strong PySpark and SQL skills with a solid understanding of the Spark framework Proficiency in Python for data engineering and machine learning workflows Familiarity with Azure security practices and DevOps pipelines Experience working with cloud platforms including AWS and Snowflake is an asset Strong communication skills with the ability to work across technical and non-technical stakeholders Eligibility for a mandatory background check Nice to have Experience with Power BI for analytics and reporting Familiarity with DevOps practices for data pipeline deployment and management Prior experience in a regulated or enterprise-scale data environment Work setup Onsite in Brampton, ON 6+ month contract English proficiency required

Ce que vous ferez

Design, build, and maintain scalable data pipelines and ETL workflows using Azure Data Factory and Databricks. Collaborate with cross-functional stakeholders to create data tools that support analytics and data science initiatives.

Exigences

Requires hands-on expertise in Azure data engineering tools, PySpark, SQL, and Python. Candidates should be familiar with Azure security, DevOps pipelines, and be eligible for a mandatory background check.

Compétences indiquées

• Microsoft Azure · Souhaitée
• SQL · Souhaitée
• Loading · Souhaitée
• Technical · Souhaitée
• Teams · Souhaitée
• Analyse de données · Souhaitée
• Apprentissage automatique · Souhaitée
• Communication · Souhaitée
• Pipeline · Souhaitée
• Amazon Web Services · Souhaitée
• Communication Skills · Souhaitée
• Anglais · Souhaitée

Autres compétences pertinentes

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

• Azure Data Factory
• Azure Databricks
• PySpark
• SQL
• Python
• Azure Machine Learning
• ETL
• Spark Framework
• Azure Security
• DevOps Pipelines
• AWS
• Snowflake
• Power BI
• Data Pipeline Architecture
• Big Data Technologies
• Data Engineering