Senior AWS Data Engineer
The role involves performing hands-on technical work in AWS Data Engineering for a major Canadian bank. The candidate will implement real-time messaging and streaming technologies to deliver data solutions.
- On-site
- Toronto, ON
- Posted Aug 17, 2026
- Apply by Sep 16, 2026
- 1 position
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Job summary
Senior AWS Data Engineer Location: Toronto Downtown, Ontario, Canada We are seeking hands-on candidates with 12+ years of experience in AWS Data Engineering and real-time messaging/streaming technologies for an opportunity with one of Canada's Big Five banks. 🔹The ideal candidate should have strong practical experience with: AWS Glue (PySpark/Python) Amazon S3 AWS Lambda Amazon Redshift Amazon DynamoDB Amazon Kinesis and/or Apache Kafka Apache Airflow SQL Infrastructure as Code (AWS CDK or Terraform) 🔹We are specifically looking for individual contributors who can hit the ground running and deliver hands-on technical work.
What you’ll do
The role involves performing hands-on technical work in AWS Data Engineering for a major Canadian bank. The candidate will implement real-time messaging and streaming technologies to deliver data solutions.
Requirements
Candidates must have over 12 years of experience in AWS Data Engineering and proficiency with PySpark, Kafka, and Infrastructure as Code. Strong practical experience with the AWS ecosystem and SQL is required.
Listed skills
- SQLPreferred
- TerraformPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS Glue
- PySpark
- Python
- Amazon S3
- AWS Lambda
- Amazon Redshift
- Amazon DynamoDB
- Amazon Kinesis
- Apache Kafka
- Apache Airflow
- SQL
- AWS CDK
- Terraform
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
- Engineering
Additional details
- Minimum experience
- 12+ years
- Apply by
- Sep 16, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available