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Azure Machine Learning (ML Engineer) Lead in Brampton
Capgemini
Ontario, CAN
Full-time
Entry
Hybrid
Discovered 4 weeks ago
Azure Data FactoryAzure Data BricksAzure Machine LearningPysparkSQLPython
Free
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Azure Data FactoryAzure Data BricksAzure Machine Learning
Role Overview
Capgemini seeks an Azure Machine Learning (ML) Engineer Lead to create and maintain optimal data pipeline architecture, lead a team of 10-15 members, and collaborate with stakeholders to support data infrastructure needs. The role requires expertise in Azure data technologies, Pyspark, SQL, and Pyth
Key Skills for This Role
Azure Data FactoryAzure Data BricksAzure Machine LearningPysparkSQLPython
Full Job Posting
Job Overview
Capgemini seeks an Azure Machine Learning (ML) Engineer Lead to create and maintain optimal data pipeline architecture, lead a team of 10-15 members, and collaborate with stakeholders to support data infrastructure needs. The role requires expertise in Azure data technologies, Pyspark, SQL, and Pyth
Responsibilities
- Create and maintain optimal data pipeline architecture using ADF
- Create ETL through Azure data bricks and good understanding of spark framework
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data systems
- Lead 10-15 team members
Requirements
- Proven leadership experience
- Experience with Azure data technologies
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