AWS Data Engineer
LVT LABS LLC
Atlanta, GA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Big Data
Continuous Integration
Data Validation
Data Cleansing
Extract Transform Load (ETL)
Identity and Access Management
Python (Programming Language)
Software Deployment
+8 more
SQL Databases
AWS Cdk
Data Logging
Git
AWS Data Analytics
Cloudwatch
Data Pipelines
Amazon Redshift
Requirements
- 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: Bachelorβs Degree (preferred)
- Locations: Toronto ON, Atlanta GA and Remote.
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