Data Engineer (Streaming / Capital Markets)
Job Description
Job Description
Overview
CTG is seeking a highly experienced Data Engineer with deep expertise in streaming data platforms and capital markets to support a high-impact initiative involving real-time data processing and legacy system modernization.
Location: Atlanta, GA
Duration: 8 months
Key Responsibilities:
- Build and optimize real-time and batch data pipelines using Python
- Develop streaming solutions leveraging Kafka/MQ technologies
- Design and maintain scalable ETL workflows for large datasets
- Integrate and manage data solutions in AWS/cloud environments
- Support CI/CD pipelines for automated deployment and monitoring
- Partner with business and technical teams on capital markets data use cases
- Assist in migration and decommissioning of legacy systems (including Ab Initio)
Required Skills:
- 10+ years of experience in Python and data engineering
- Strong expertise in ETL development and large-scale data processing
- Hands-on experience with Java, Kafka/MQ streaming technologies
- Experience with AWS or cloud-based data platforms
- Solid understanding of CI/CD and DevOps practices
Preferred Qualifications:
- Experience with Ab Initio (legacy systems)
- Knowledge of capital markets, especially derivatives
- Familiarity with risk engines or pricing models
- Exposure to Palantir
Education:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.
To Apply:
To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Nicole Shaw at Nicole.Shaw@ctg.com. Kindly forward this to any other interested parties. Thank you!