Job Description
Elevate your career as a Senior AWS Data Engineer with a Fortune 100 client in Toronto, ON. This hybrid role focuses on AWS data services, ETL/ELT optimization, and cloud architecture.
In this senior role, you will act as an independent contributor with strong experience in AWS data services. Proficiency in Python and SQL for building ETL/ELT pipelines is essential. You will also handle data warehousing, modeling, and engage with orchestration tools like Airflow while adhering to CI/CD practices.
Key Responsibilities:
• Build and optimize ETL/ELT pipelines using Python and SQL
• Implement data warehousing and modeling techniques
• Handle large-scale data processing with AWS tools
• Utilize orchestration tools like Airflow effectively
• Ensure cloud-native architecture security and performance optimization
Requirements:
• Strong experience with AWS data services
• Proficiency in Python and SQL for data pipelines
• Experience in data warehousing and model...
In this senior role, you will act as an independent contributor with strong experience in AWS data services. Proficiency in Python and SQL for building ETL/ELT pipelines is essential. You will also handle data warehousing, modeling, and engage with orchestration tools like Airflow while adhering to CI/CD practices.
Key Responsibilities:
• Build and optimize ETL/ELT pipelines using Python and SQL
• Implement data warehousing and modeling techniques
• Handle large-scale data processing with AWS tools
• Utilize orchestration tools like Airflow effectively
• Ensure cloud-native architecture security and performance optimization
Requirements:
• Strong experience with AWS data services
• Proficiency in Python and SQL for data pipelines
• Experience in data warehousing and model...
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