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

Job Description AWS Data Engineer - AWS Lake Formation, Terraform, DFPaaS, Experience: 10+ years Location: Toronto, ON Work Model: Hybrid – 3 days per week onsite Contract: 6–12 months Key Skills AWS Lake Formation Amazon S3, Glue Data Catalog, EMR/EC2, Athena Apache Spark AWS Lambda, API Gateway, EventBridge, SNS, SQS Amazon Neptune Terraform, AWS CloudFormation, IAM AWS Infrastructure & Data Platform Engineering Amazon QuickSight AWS IAM Identity Center and Agent Core Low-Latency Data Solutions Role Description 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 . Key Responsibilities 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 CloudFormation . 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, EventBridge, 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 QuickSight .