Senior AWS Data Engineer

Senior AWS Data EngineerFull-time Hybrid – Lafayette, LA | Knoxville, TN | Birmingham, AL | Columbia, SCPosition 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 Technologies: AWS | 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.Ref: #404-IT Pittsburgh