Engineer

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

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