Data Engineer responsible for designing and optimizing data pipelines for iA Financial Group. Collaborate with multidisciplinary teams to deliver impactful data solutions.
Responsibilities
Design, develop and maintain high-performance, secure, and scalable data pipelines (ETL/ELT)
Contribute to the implementation and evolution of data management solutions (data warehouses, data marts, data lakes)
Prepare, transform and structure data required for training supervised machine learning models
Develop, test, deploy and productionize machine learning and AI models in cloud environments (Azure, GCP)
Establish and maintain DevOps and MLOps practices, including continuous integration, pipeline monitoring and model reproducibility
Document delivered solutions and contribute to their sustainability and continuous improvement
Requirements
Minimum 7 years of relevant experience in data engineering, ETL development, or related fields
University degree in computer science or a related field
Strong expertise in designing and orchestrating ETL/ELT pipelines using tools such as Azure Data Factory, with excellent SQL skills
Extensive experience with cloud databases, notably Snowflake, and with Azure and GCP platforms
Familiarity with DevOps and MLOps practices, including CI/CD pipelines
Proficiency in French and intermediate knowledge of English
Benefits
Flexible group insurance
Competitive pension/retirement plan
Employee share purchase plan
Vacation plan and wellness and personal development days
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