AWS Data Engineer - AWS Lake Formation, AWS Quicksight, Terraform

Experience: 10+ years

Location: Toronto, ON

Work Model: Hybrid – 3 days per week onsite

Contract: 6–12 months

• AWS Lake Formation
• Amazon S3, Glue Data Catalog, EMR/EC2, Athena
• Apache Spark
• AWS Lambda, API Gateway, Event Bridge, SNS, SQS
• Amazon Neptune
• Terraform, AWS Cloud Formation, IAM
• AWS Infrastructure & Data Platform Engineering
• Amazon Quick Sight
• AWS IAM Identity Center and Agent Core
• Low-Latency Data Solutions

We are seeking a Senior AWS Data Engineer with strong experience in AWS data platforms, infrastructure, and automation to build and scale data solutions supporting enterprise data products. The ideal candidate will have hands-on expertise with AWS Lake Formation, S3, Glue, Spark, Athena, Terraform, and serverless AWS services
.

• Build, launch, and scale Data Factory Platform as a Service (DFPaaS) across data product producers.
• Establish consistent tooling and frameworks for building high-quality, interoperable data products
  .
• Design and implement AWS data infrastructure using Lake Formation, S3, Glue Data Catalog, EMR/EC2, Athena, and Spark
  .
• Develop and manage cloud infrastructure using Terraform and AWS Cloud Formation
  .
• Strengthen data entitlement, access management, and governance using IAM and IAM Identity Center.
• Enable self-service data subscription and data sharing through the Data Portal.
• Improve data discovery through catalog organization, content tagging, and search capabilities.
• Develop event-driven and serverless solutions using Lambda, Event Bridge, SNS, SQS, and API Gateway
  .
• Support low-latency data solutions and scalable data platform capabilities.
• Contribute to platform reliability, automation, security, and operational efficiency.
• Support AWS data visualization and analytics capabilities using Amazon Quick Sight
  .