AWS Cloud Data Platform Engineer

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.