Toronto, CAhybridPosted Jul 20, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

airflowpythoncicdaws

About the role

AWS Data Engineer – ETL, Python & SQL

Toronto, ON

Hybrid (2 days per week in-person at Toronto office preferred)

Skills: Digital : Amazon Web Service (AWS)

Cloud Computing: Digital : Python for Data Science Digital : Google Data Engineering Experience Required: 6-8 Years

Required Skills and Experience:

1. Must have working knowledge in designing and implementing data pipelines on any of the cloud providers (AWS is preferred). Must be able to work with large volumes of data coming from various sources. Perform data cleansing, data validation etc.

2. Hands on ETL developer who is good at python, SQL. AWS services like glue, glue crawlers, lambda, red shift, Athena, s3, EC2, IAM, Monitoring and Logging mechanisms- AWS CloudWatch, setting up alerts.

3. Deployment knowledge on cloud. Integrate CI/CD pipeline to build artifacts and deploy changed to higher Environments.

4. Scheduling frame works Airflow, AWS Step functions 5. Excellent Communication skills, should be able to work collaboratively with other teams

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