Data Engineer with Azure Expertise (Yonge Mills)

Elevate your data engineering career by applying your Azure skills in designing ETL pipelines and deploying machine learning models. Collaborate with scientists for quality data modeling and management.

We are seeking a Data Engineer with a Masters degree in Computer Science or a related field and over 2 years of experience in data engineering with Azure technologies. You will be responsible for managing ETL processes, quality checks, and collaborating with external teams for infrastructure setup. Your work will directly impact the deployment and performance of machine learning models in production.

Key Responsibilities: • Design and manage ETL data pipelines efficiently • Conduct robust data quality checks and manage feature stores • Deploy and scale ML models for production environments • Collaborate with data scientists for optimized data structure • Oversee internal ML model lifecycle and infrastructure alignment

Requirements: • Master’s degree in a relevant technical field • 2+ years of Azure-related data engineering experience • Extensive knowledge in Python, PySpark, and ETL scripts • Familiarity with CI/CD tools like GitLab and Jenkins • Solid problem-solving and communication skills

Utilize your Azure knowledge and continuous improvement mindset as a Data Engineer, driving data solutions and model efficiency. J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2pouzk