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: 612 months Key Skills 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 Role Description We are seeking a Senior AWS Data Engineer with robust 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 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 .

📌 AWS Data Engineer - AWS Lake Formation, Terraform, DFPaaS, (Toronto)
🏢 Astra North Infoteck
📍 Toronto