Cloud DevOps Engineer (AWS) (Remote, Canada)

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in Data Engineering, with at least 3+ years in AWS environments.
• Strong knowledge of AWS services including SageMaker, Lambda, Glue, and Redshift.
• Hands-on experience deploying machine learning models in AWS SageMaker.
• Proficiency in DevOps practices, CI/CD pipelines, Docker, and infrastructure-as-code tools.
• Advanced SQL skills and experience with complex ETL workflows.
• Proficiency in Python and skills in Java or Scala.
• Experience with Apache Airflow for data orchestration.
• Effective communication skills and a result-oriented approach.

Responsibilities:

• Design, develop, and maintain ETL pipelines ensuring reliable data flow and high-quality data for analytics.
• Build and optimize data models to efficiently handle large data volumes in Snowflake.
• Create complex SQL queries for data processing and analytics.
• Manage orchestration and scheduling using Apache Airflow.
• Document data pipelines and architecture.
• Architect, build, and maintain data science infrastructure on AWS.
• Collaborate with Data Scientists on deploying ML models using SageMaker.
• Automate ML model deployment and monitoring with CI/CD and IaC tools.
• Set up monitoring solutions to ensure effective operation of data pipelines.