Data Engineer - Hybrid - Toronto (AWS, Glue, SQL, Redshift, Lambda)

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

data engineer
aws
glue
redshift
sql
python
lambda
Cloud
etl
pipelines

Job Details

CORE Expectation: AWS, Glue, SQL, Redshift, Lambda

Data Engineer (Multiple roles - Mid to Lead designation)

Hybrid Onsite from Toronto ON Canada

Job Description :

  • Minimum 6-12+ years of experience in Data Engineer with AWS, Glue, Lambda, SQL, Python, Devops, Redshift.
  • 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
  • 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.
  • Deployment knowledge on cloud. Integrate CI/CD pipeline to build artifacts and deploy changed to higher Environments.
  • Scheduling frame works Airflow, AWS Step functions

  • #DataEngineer
  • #AWS
  • #Glue
  • #Redshift
  • #SQL
  • #Python
  • #Lambda
  • #CloudComputing
  • #ETL
  • #DataPipelines
  • #CloudDeployment
  • #TorontoJobs
  • #HybridWork
  • #CanadaJobs
  • #LeadEngineer
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