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# AWS Data Engineer

- **Company:** Brilliant
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Automation of Tests, Computer Programming, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Python (Programming Language), Shell Script, SQL Databases, Performance Testing, Delivery Pipeline, Information Technology, AWS Glue, Data Analytics, Functional Programming, Cloudwatch, Terraform, Data Pipelines, Jenkins
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/e753c9a4-e0e8-4f98-9abb-9750335068cd

## About the Role

* Programming: Proficiency in Python, SQL, and shell scripting.
 * AWS Expertise: Hands on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch).
 * Automation: Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline).
 * Data Integration: Strong knowledge of ETL/ELT processes and frameworks.
 * Soft Skills: Strong problem solving, collaboration, and communication skills., * Bachelor‿s degree in Computer Science, Data Engineering, or related field.
 * 5+ years of experience in data engineering and pipeline development.
 * AWS Certified Data Analytics or AWS Certified Developer is a plus.

## Description

* Data Pipelines: Develop configuration driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift.
 * Automation: Implement CI/CD pipelines for automated build, test, and deployment of data products.
 * Testing: Establish automated test frameworks for schema validation, data quality, and performance testing.
 * Monitoring: Set up monitoring and observability dashboards for product level metrics (CloudWatch, custom metrics).
 * Collaboration: Work with data modelers and architects to ensure alignment with business requirements.


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