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