Note: The job is a remote job and is open to candidates in USA. Dice is a recruiter and job platform offering this remote contract opportunity across the United States. The AWS Data Engineer will build and maintain secure, scalable, automated data pipelines using AWS services, while implementing CI/CD, automated testing, and monitoring solutions. The role also involves collaborating with data modelers and architects to align data products with business requirements.
Responsibilities
- 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
Skills
- Proficiency in Python, SQL, and shell scripting
- Hands on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch)
- Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline)
- Strong knowledge of ETL/ELT processes and frameworks
- 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
Benefits
- Remote work across any location in the USA
Company Overview
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