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