Job Title: Senior Cloud Data Platform Engineer (AWS Platform Engineering)
Location :- Toronto, ON (Hybrid/Remote options)

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Role Overview
We are seeking a highly skilled Senior Cloud/Data Engineer to design, build, and operate scalable data and application platforms on AWS. This role requires strong expertise in distributed systems, cloud-native services, and backend engineering, with a focus on reliability, security, and performance.
You will work on modern data pipelines, event-driven architectures, and cloud-based applications while collaborating closely with cross-functional teams.
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Key Responsibilities
Cloud Data & Platform Engineering
• Design, develop, and optimize data pipelines using Amazon Redshift, RDS, and DataSync/SFTP
• Build scalable ETL/ELT workflows using AWS Lambda and Managed Airflow (MWAA)
• Ensure high availability, performance, and cost-efficiency of data platforms
Event-Driven & Distributed Systems
• Develop and maintain event-driven architectures using Amazon SQS and SNS
• Implement scheduling and orchestration logic using AWS-native Schedulers
• Build containerized services deployed on Amazon ECS
Application & System Design
• Design robust, scalable systems with strong emphasis on performance and fault tolerance
• Participate in system design and application architecture reviews
• Define best practices for service design, resilience, and observability
Software Development
• Develop backend services and data workflows using Python and/or TypeScript
• Write clean, maintainable, and testable code
• Improve developer productivity through reusable components and frameworks
Database Management
• Design and manage relational databases, focusing on:
o Transaction management
o Performance tuning and indexing
o Data integrity and consistency
• Write efficient and optimized SQL queries
Infrastructure & Security
• Apply strong fundamentals in:
o Networking concepts (VPC, subnets, routing, security groups)
o Cryptography and data protection
• Ensure compliance with security best practices and data governance standards
Systems & Operations
• Work in Unix/Linux environments for deployment, troubleshooting, and system tuning
• Monitor system performance and resolve production issues proactively
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Required Qualifications
• 6+ years of experience in cloud engineering, backend development, or data engineering
• Strong hands-on experience with:
o AWS services: Redshift, RDS, Lambda, SQS, SNS, ECS, Managed Airflow
• Proficiency in Python and/or TypeScript
• Deep understanding of:
o SQL and relational databases
o Distributed systems and system design
• Experience with event-driven architectures
• Solid knowledge of:
o Networking fundamentals
o Security and cryptography principles
• Strong experience working in Linux/Unix environments
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Preferred Qualifications
• Experience with large-scale data platforms or analytics systems
• Exposure to data migration tools (DataSync, SFTP pipelines)
• Familiarity with CI/CD pipelines and DevOps practices
• AI/ML knowledge or experience integrating AI capabilities into applications is a strong plus
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Soft Skills
• Strong problem-solving and analytical thinking
• Excellent communication and collaboration skills
• Ability to work in fast-paced, agile environments
• Ownership mindset and attention to detail

Senior Cloud Data Platform Engineer (AWS Platform Engineering)

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