AWS Cloud Data Platform Engineer


Job Location:

Toronto - Canada

Monthly Salary: K 10 - 10
Experience Required: 5years
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Key Skills:

Terraform

PySpark

AWS DevOps

Automation


Role Description:

Lead end-to-end migration of legacy Sybase applications to AWS cloud.

Define migration strategies: rehost re-platform or re-architect.

Design secure scalable and cost-optimized AWS architectures.

Build and modernize solutions using microservices and cloud-native patterns.

Develop ETL pipelines using AWS Glue PySpark and move data to S3 Redshift Athena.

Handle large-scale data migration with strong SQL and data modeling expertise.

Design real-time/near real-time pipelines using Kinesis Kafka (MSK) Spark Streaming or Flink.

Implement event-driven and distributed streaming architectures with low latency.

Build and manage CI/CD pipelines using Jenkins GitHub Actions or GitLab.

Automate infrastructure using Terraform or CloudFormation (IaC).

Manage AWS services: EC2 S3 RDS Lambda VPC IAM with best practices.

Ensure system reliability monitoring and observability using CloudWatch Prometheus Grafana.

Apply strong security networking governance and cost optimization principles (Well-Architected Framework).

Collaborate across architects data DevOps and engineering teams; mentor junior members.

Work in Agile environments with strong communication ownership mindset and hybrid (Toronto-based) collaboration.




Required Skills:

Key Skills: Terraform PySpark AWS DevOps Automation Role Description: Lead end-to-end migration of legacy Sybase applications to AWS cloud. Define migration strategies: rehost re-platform or re-architect. Design secure scalable and cost-optimized AWS architectures. Build and modernize solutions using microservices and cloud-native patterns. Develop ETL pipelines using AWS Glue PySpark and move data to S3 Redshift Athena. Handle large-scale data migration with strong SQL and data modeling expertise. Design real-time/near real-time pipelines using Kinesis Kafka (MSK) Spark Streaming or Flink. Implement event-driven and distributed streaming architectures with low latency. Build and manage CI/CD pipelines using Jenkins GitHub Actions or GitLab. Automate infrastructure using Terraform or CloudFormation (IaC). Manage AWS services: EC2 S3 RDS Lambda VPC IAM with best practices. Ensure system reliability monitoring and observability using CloudWatch Prometheus Grafana. Apply strong security networking governance and cost optimization principles (Well-Architected Framework). Collaborate across architects data DevOps and engineering teams; mentor junior members. Work in Agile environments with strong communication ownership mindset and hybrid (Toronto-based) collaboration.


Required Education:

Bachelors Degree

Key Skills: Terraform PySpark AWS DevOps Automation Role Description: Lead end-to-end migration of legacy Sybase applications to AWS cloud. Define migration strategies: rehost re-platform or re-architect. Design secure scalable and cost-optimiz...