Senior AWS Engineer
Senior AWS Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Title: Senior AWS Engineer
Duration: Contract to hire
Address: Washington DC OR Reston VA hybrid 3 days per week onsite.
Key Responsibilities:
- Design build and maintain scalable secure and efficient data pipelines using AWS services such as Glue Lambda Step Functions S3 Redshift EMR and Data Pipeline.
- Develop robust Python scripts for data ingestion transformation and automation.
- Write and optimize complex SQL queries for ETL and analytics workflows.
- Operate in Unix/Linux environments for scripting automation and system-level data operations.
- Participate in Agile ceremonies (daily stand-ups sprint planning retrospectives) and contribute to iterative delivery of data solutions.
- Collaborate with cross-functional teams to gather requirements and translate them into high-level architecture and design documents.
- Communicate technical concepts clearly through documentation presentations and stakeholder meetings.
- Implement monitoring logging and alerting for data pipelines to ensure reliability and performance.
- Apply DevOps best practices using GitHub Terraform and CloudFormation for infrastructure automation and CI/CD.
Required Qualifications:
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 3 years of experience in data engineering or a similar role.
- Strong hands-on experience with AWS data services (e.g. EMR Glue Lambda Step Functions S3 Redshift).
- Advanced proficiency in Python for scripting and automation.
- Solid experience with Unix/Linux shell scripting.
- Strong command of SQL and experience with relational databases.
- Proficiency with GitHub for version control and collaboration.
- Experience with Terraform and/or AWS CloudFormation for infrastructure-as-code.
- Experience working in Agile/Scrum environments.
- Excellent verbal and written communication skills.
- Proven ability to contribute to high-level solution design and architecture discussions.
- AWS Certification (e.g. AWS Certified Data Analytics Specialty AWS Certified Solutions Architect or equivalent).
Preferred Qualifications:
- Exposure to machine learning pipelines or data science workflows.
Employment Type
Full-time
