Senior AWS Data Platform Engineer - Remote / Telecommute

We are looking for Senior AWS Data Platform Engineer - Remote / Telecommute for our client in Toronto, ON

Job Title: Senior AWS Data Platform Engineer - Remote / Telecommute

Job Location: Toronto, ON

Job Type: Contract

Job Overview:

Requirement/Must Have:

• 6+ years of experience in cloud engineering, backend development, or data engineering.
• Strong hands-on experience with AWS services: Redshift, RDS, Lambda, SQS, SNS, ECS, Managed Airflow.
• Proficiency in Python and/or TypeScript.
• Deep understanding of SQL and relational databases.
• Experience with event-driven architectures.
• Solid knowledge of networking fundamentals.
• Strong experience working in Linux/Unix environments.

Responsibilities:

• 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.
• 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.
• 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.
• 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.
• Design and manage relational databases, focusing on transaction management, performance tuning and indexing, and data integrity and consistency.
• Write efficient and optimized SQL queries.
• Apply strong fundamentals in networking concepts (VPC, subnets, routing, security groups), cryptography and data protection.
• Ensure compliance with security best practices and data governance standards.
• Work in Unix/Linux environments for deployment, troubleshooting, and system tuning.
• Monitor system performance and resolve production issues proactively.

Nice to Have:

• 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.

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.