Senior AI Data Engineer
Kforce has a client that is seeking a Senior AI Data Engineer in Charlotte, NC. Key Tasks:
- Design, build, and optimize scalable data pipelines using AWS Glue, Apache Kafka, AWS Lambda, and Step Functions
- Develop and maintain robust data lakes and data warehouses on Amazon S3
- Implement infrastructure as code using CloudFormation Templates (CFT)
- Collaborate with Data Scientists and ML Engineers to integrate AI/ML models into production-grade data workflows
- Write efficient, reusable, and testable code in Python, SQL, and PySpark
- Ensure data quality, governance, and security across all data platforms
- Monitor and troubleshoot data pipeline performance and reliability
- Participate in architectural discussions and contribute to cloud strategy and best practices
- 10+ years of experience in Data Engineering with a strong focus on AWS Cloud
- Proficiency in Python, SQL, and PySpark
- Solid understanding of AI/ML concepts and experience integrating models into data pipelines
- Experience with CI/CD tools and DevOps practices in cloud environments
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
- AWS Glue
- Apache Kafka
- Amazon S3
- AWS Lambda
- AWS Step Functions
- CloudFormation Templates (CFT)
- AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect)
- Familiarity with containerization (Docker, ECS) and orchestration tools (Airflow, EMR)
- Knowledge of data governance frameworks and compliance standards
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