AWS Data Engineer - DynamoDB
McClure Engineering Co.
Juno Beach, FL, United States
29 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$124,800 - $135,200
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Amazon S3
Continuous Integration
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
Amazon DynamoDB
Identity and Access Management
Python (Programming Language)
Operational Databases
Freeform SQL
+13 more
Postman
Database Optimization
State Machines
Git
Cloudformation
Pyspark
Infrastructure Automation Frameworks
AWS Glue
AWS Data Analytics
Cloudwatch
Terraform
Data Pipelines
Api Management
Requirements
- Build and maintain scalable production data pipelines using Python and PySpark.
- Develop ETL jobs, crawlers, triggers, and workflows using AWS Glue.
- Design and optimize DynamoDB data models, capacity, streams, and performance.
- Work with AWS services including S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis.
- Use Postman for API testing and collaboration.
- Write complex SQL queries and apply data warehousing principles.
- Use Git, CI/CD pipelines, and Infrastructure as Code tools such as CloudFormation or Terraform.
- Leverage AI tools to improve development, automation, and productivity.
Mandatory Requirements
- 10+ years of relevant IT/data engineering experience.
- Strong hands-on experience with Python/PySpark, AWS Glue, and DynamoDB.
- Proven experience building production data pipelines.
Pay: $60.00 - $65.00 per hour
Experience:
- IT/Data Engineering: 10 years (Required)
- DynamoDB: 4 years (Required)
- Python and PySpark: 4 years (Preferred)
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