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 solid 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.

📌 Aws Data Engineer Aws Lake Formation, Aws Quicksight, Terraform Toronto (Canada)
🏢 Astra North Infoteck
📍 Canada