AWS Data Engineer

Must Have

• AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge.
• 8+ years of experience in Data Engineer with AWS services like Simple Storage Service(S3), Lambda, Glue ETL, Redshift, SQL, Python, Git.
• 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
• Excellent Communication skills, should be able to work collaboratively with other teams

Requirements

• Education: Bachelor's Degree (preferred)
• Locations: Toronto ON, Atlanta GA and Remote.