Posted 3 months ago
AWS Data Engineer - AWS Lake Formation, AWS Quicksight, Terraform
@ Astra North Infoteck Inc.
Toronto, Ontario
Overview
Astra North Infoteck Inc. is hiring a contract Senior AWS Data Engineer in Toronto, ON, on a hybrid model with 3 days per week onsite, for 6 to 12 months. The work covers building and scaling a data platform on AWS, including infrastructure automation with Terraform, data governance and serverless pipelines. The posting asks for 10+ years of experience.
Responsibilities:
- Build and scale DFPaaS across data product producers
- Design AWS data infrastructure with Lake Formation, S3, Glue, EMR and Athena
- Develop cloud infrastructure with Terraform and CloudFormation
- Strengthen data access and governance with IAM and Identity Center
- Build event-driven serverless solutions with Lambda, EventBridge and SQS
Requirements summary:
- 10+ years of experience
- Hands-on expertise with AWS Lake Formation, S3, Glue and Spark
- Experience with Athena and Terraform
- Experience with serverless AWS services
- Experience building low-latency data solutions
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-08-11
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-18
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 10+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
| 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.
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