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Job Description & How to Apply Below
Shape data solutions as the Lead AWS Data Engineer in Toronto, ON. Bring your 12+ years of experience in AWS, SQL, and Python to deliver innovative data pipelines.
This senior role demands a strong background in AWS services, including S3, Glue, and EMR. You will design and implement data pipelines while utilizing your expertise in SQL, Spark, and Terraform to streamline processes. Collaboration with cross-functional teams is essential to achieve impactful results.
Key Responsibilities:
• Architect data solutions using AWS services like Glue and S3
• Implement robust data pipelines and workflows on AWS
• Utilize Terraform for infrastructure as code configurations
• Develop and optimize SQL queries for efficient data manipulation
• Work with event-driven architecture using Lambda and Event Bridge
Requirements:
• 12+ years of data engineering experience
• Strong proficiency in AWS services like Glue and EMR
• Expertise in SQL, Python, and Spark frameworks
• Experience with Terraform for infrastructure management
• Proven track record in designing scalable data pipelines
Elevate your career by driving impactful data engineering solutions with AWS in Toronto.
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