Skill: AWS Bedrock Data Automation Engineer Must Have Technical/Functional Skills: * We are seeking an experienced AWS Bedrock Data Automation Engineer to design, develop, and implement automated data workflows using AWS Bedrock and related AWS services. * The ideal candidate will have expertise in AI/ML model integration, data pipeline automation, and cloud-based infrastructure. Roles & Responsibilities: * Design and implement automated data processing and AI-driven workflows using AWS Bedrock. * Develop scalable and efficient ETL pipelines leveraging AWS services such as Lambda, Step Functions, Glue, and S3. * Integrate AI/ML models for data transformation, analysis, and decision automation. * Optimize data processing and automation workflows for performance, cost efficiency, and security. * Collaborate with data engineers, AI/ML teams, and business stakeholders to refine automation requirements. * Monitor and troubleshoot automation processes, ensuring high availability and reliability. Required Skills & Qualifications: * Strong experience with AWS Bedrock, Lambda, Step Functions, Glue, and S3. * Hands-on experience in data pipeline automation and cloud-based data engineering. * Proficiency in Python, SQL, and Terraform (or other Infrastructure-as-Code tools). * Knowledge of AI/ML model deployment and integration in cloud environments. * Experience with monitoring and logging tools like CloudWatch. * Strong problem-solving skills and ability to work in an agile environment. Salary Range - $90,000-$130,000 a year #LI-NR3