AI Data Engineer

Client seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.

• AI experience with prompt engineering, machine learning, agentic AI and RAG concepts
• Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
• Build and optimize data architectures and models to support analytics, reporting, and operational needs.
• Implement and manage CI/CD pipelines for data engineering workflows using tools such Git.
• Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).
• Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
• Ensure data quality and integrity through validation, monitoring, and logging.
• Manage multiple tasks effectively across competing priorities.
• Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
• Document data flows, processes, and technical solutions for knowledge sharing and compliance.
• Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.

What You Will Need: