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AWS Cloud Automation Engineer

Company:
Tata Consultancy Services - TCS
Location:
Jersey City, NJ, 07097
Posted:
May 12, 2025
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Description:

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:

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.

Additional Notes:

Please submit the candidate\'s resume in PDF format.

Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement. Skills : Amazon Web Services (AWS), Cloud Computing, AWS Bedrock, Lambda, Glue, S3, Python, SQL, CloudWatch.

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