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.
Contract