AWS Cloud ETL Engineer - Cleared
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Role details
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Job description
RDTS is seeking an experienced AWS ETL Engineer to design, build, and maintain scalable data pipelines in a cloud-native environment. The ideal candidate will have strong hands-on experience with AWS data services, data modeling, and modern ETL/ELT frameworks. This role works closely with data engineers, analysts, and business stakeholders to deliver reliable, high-quality data solutions.
The position is 100% onsite and full-time, Monday-Friday with standard office hours., * Design, develop, and maintain ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and EMR
- Build and manage data workflows orchestrated with tools like AWS Step Functions, or similar
- Implement data transformations using Python, PySpark, or SQL
- Design and optimize data storage solutions in Amazon S3, Redshift, RDS, or DynamoDB
- Ensure data quality, integrity, and governance through validation, monitoring, and logging
- Optimize performance and cost-efficiency of AWS data workloads
- Collaborate with DevOps teams to implement CI/CD pipelines and infrastructure as code (AWS CDK Python)
- Maintain documentation and enforce best practices for data architecture and security
- Troubleshoot and resolve production data issues
Requirements
- Must possess an active Security Clearance
- Experience in data engineering or ETL development
- Strong hands-on experience with AWS services (Glue, S3, Lambda, EMR, IAM)
- Proficiency in Python and SQL
- Familiarity with CI/CD pipelines and Infrastructure as Code
- Knowledge of data security, encryption, and IAM best practices
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