Senior AWS Data EngineerFull-time Hybrid - Lafayette, LA | Knoxville, TN | Birmingham, AL | Columbia, SC Position Overview Seeking a
Senior AWS Data Engineer to develop, enhance, and maintain enterprise risk analytics applications in a financial services environment.
The primary focus is building cloud-based data pipelines and analytics solutions using
AWS, Amazon Redshift, AWS Glue, Python, and SQL.
Key Responsibilities - Develop and enhance AWS-based data pipelines.
- Build ETL/data processing solutions using AWS Glue.
- Develop Python-based data processing and automation solutions.
- Work with Amazon Redshift and optimize data processing performance.
- Develop complex SQL queries for large datasets.
- Support CI/CD and automated deployments.
- Troubleshoot data quality and performance issues.
- Support enterprise analytics applications in production.
- Work independently on complex requirements.
- Apply GenAI and AI-driven automation to data engineering workflows where applicable.
Must-Have Skills - 5+ years of AWS Data Engineering experience.
- Strong Amazon Redshift experience.
- Strong AWS Glue experience.
- Strong Python development.
- Advanced SQL.
- ETL/Data Pipelines.
- CI/CD and automated deployments.
- Enterprise-scale data and analytics applications.
- Data quality, troubleshooting, and performance optimization.
- Production support experience.
- Exposure to Generative AI / AI-enabled automation.
Nice-to-Have Skills - Financial services experience.
- Enterprise Risk experience.
- Risk Analytics experience.
Key TechnologiesAWS | Amazon Redshift | AWS Glue | Python | SQL | ETL | Data Pipelines | Data Engineering | CI/CD | Analytics | Risk Analytics | GenAI | AutomationEducation - Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
The real hiring focus is
AWS Data Engineering + Redshift + Glue + Python + Advanced SQL. Risk analytics experience is preferred.
#M1
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Ref: #404-IT Pittsburgh
