About:

• Location: Jersey City, NJ
• Contract: 6+ months

The Role:

• 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.
• AWS Bedrock
• AWS services such as Lambda, Step Functions, Glue, and S3.

Must Have:

• Bachelor’s degree required.
• 4-7 years of experience in Amazon Web Services (AWS) Cloud Computing.
• 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).
• Experience with monitoring and logging tools like CloudWatch.
• AWS services such as Lambda, Step Functions, Glue, and S3.