AWS Data Engineer with Python
Job Description
Role & Responsibilities:
- Experience in AWS and Python is mandatory.
- Should have expertise in creating data warehouses in AWS utilizing the following tools: EC2 S3 EMR Athena Sagemaker Aurora and Snowflake. Kafka Kinesis Glue Lambda DMS AppFlow PowerBI
- Advanced development experience in cloud technologies such as AWS Aurora/RDS/S3 Lambda JSON Python
- Proficiency in scripting querying and/or analytics tools: Linux python SQL (already covered in description)
Analyze rearchitect and replatform on premise / cloud data sources to AWS platform using AWS Glue.
- Design build and automate AWS data pipelines from ingestion of data into consumption layer using Java / Python
- Basic knowledge in Redhat Linux and Windows Operating Systems
- Good at Console and the AWS CLI and APIs
- Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform.
- AWS APIs for integration
python,aws,cloud,data,linux,glue,s3,advanced,api,analytics