Elevate your data engineering career as an AWS Data Engineer in Toronto, ON, with a hybrid work model. You will utilize your ETL, Python, and SQL skills to manage large data volumes and collaborate across teams.
This role emphasizes design and implementation of data pipelines using AWS and requires an experienced professional with 6-8 years in the field. Your expertise in Python and SQL will be vital in cleansing and validating extensive datasets. You will also handle CI/CD integrations and utilize various AWS services to ensure seamless deployment.
Key Responsibilities:
• Design and implement data pipelines on AWS
• Develop ETL processes using Python and SQL
• Work with AWS services like Glue, Redshift, and Athena
• Integrate CI/CD pipelines for deployment
• Collaborate with teams for effective communication
Requirements:
• 6-8 years of experience in data engineering
• Proven skills in cloud data pipeline design
• Proficiency in AWS services and data cleansing
• Hands-on experience with scheduling frameworks
• Excellent collaboration and communication skills
Bring your expertise in AWS and Python to drive impactful data initiatives in Toronto.
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AWS Data Engineer with Python Expertise

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