Senior ML Engineer – Lead
- Brampton, ON, Canada
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Original job 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
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Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) .
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Build ETL/ELT solutions using Azure Databricks and PySpark .
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Develop and optimize data architectures to support machine learning and analytics.
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Build infrastructure for data extraction, transformation, and loading using Azure big data technologies.
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Collaborate with Product, Data Science, Design, and business stakeholders to deliver data-driven solutions.
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Develop data tools and platforms to support analytics and machine learning initiatives.
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Ensure performance, scalability, security, and reliability of Azure data solutions.
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Lead and mentor a team of 10-15 engineers while driving technical delivery.
Required Skills & Experience
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Strong hands-on experience with:
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Azure Data Factory (ADF)
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Azure Databricks
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Azure Machine Learning
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PySpark
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Python
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SQL
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Experience with Azure Security , DevOps , and cloud-based data platforms.
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Exposure to AWS is an asset.
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Strong understanding of Spark and modern data engineering practices.
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Excellent leadership, presentation, stakeholder management, and communication skills.
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Proven experience leading high-performing engineering teams.
More about this job
Responsibilities
The Senior ML Engineer - Lead at Querentia Inc. will design and maintain scalable data pipelines and ML data architectures on Azure. The role also leads and mentors a team of 10-15 engineers while working with product, data science and business stakeholders.
Requirements
Candidates need strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Machine Learning, PySpark, Python and SQL. Proven experience leading high-performing engineering teams and strong stakeholder communication are also required.
Skills
- Azure Data Factory
- Azure Databricks
- Azure Machine Learning
- PySpark
- Python
- SQL
- Apache Spark
- ETL/ELT development
- Data pipeline design
- Data architecture
- Azure big data technologies
- Azure Security
- DevOps
- Cloud data platforms
- AWS
- Team leadership and mentoring
- Stakeholder management
- Technical communication
- Presentation skills
Categories
- Data & Analytics
- Software
- Technology
Keywords
- Azure Data Factory
- Azure Databricks
- Azure Machine Learning
- PySpark
- Python
- SQL
- Spark
- ETL
- ELT
- Azure
- Azure Security
- DevOps
- AWS
- machine learning engineer
- data engineer
- data pipeline
- big data
- team lead
- engineering manager
- cloud data platform
Seniority
Lead
Tools
- Azure Data Factory
- Azure Databricks
- Azure Machine Learning
- PySpark
- Python
- SQL
- Spark