Posted 17 June, 2026
AWS Engineer
ClifyX
India
Full Time
Reference: 365_594563_26-00440
Job Description
**mandatory
SN Required Information Details
1 Role** AWS Data Platform Engineer
2 Required Technical Skill Set** AWS, Kafka, Terraform/Ansible, AWS RDS
3 No of Requirements** 1
4 Desired Experience Range** 10+ Years
5 Location of Requirement PAN India
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be more than 3-5) Good understanding on the AWS cloud platform capabilities is mandatory.
Experience rolling out infrastructure as a code, using Terraform/Ansible stacks.
Very good understanding of Cloud databases and technologies including AWS RDS & Redshift.
Good knowledge of relational database concepts and SQL skills are needed.
AWS IAM services experience.
Operating Systems: 2+ years of experience in Linux/Unix environment.
Experience with scripting languages: Python/Shell.
Experience with AWS data migration services.
Experience with CI/CD tools and scripted pipelines with focus on Jenkins.
Experience integrating applications with third party encryption tools like voltage.
Interpersonal skills to include effective verbal and written communication within team, key leaders, and other departments.
Good-to-Have(Ideally should not be more than 3-5) AWS associate level certification or professional certifications.
Experience with GCP/OCI is preferred.
Experience with Confluent Kafka cluster administration.
Distributed system architecture awareness.
Experience with Tableau and Apache Airflow.
Experience setting up monitoring and alerting tools like Dynatrace and cloud native logging and monitoring frameworks.
SN Responsibility of / Expectations from the Role
1 Carry out POCs and Roll out new multi cloud solutions with minimal guidance.
2 Review Platform Infrastructure components, data warehousing environments and identify opportunities for improvement in terms of operational excellence, security, and cost optimization.
3 Administration of critical data platform components and provide L3 support as needed.
4 Quick assimilation of knowledge about new systems being rolled out, documenting, and sharing the same with team members, assist them as required. Should be an excellent team player.
**mandatory
SN Required Information Details
1 Role** AWS Data Platform Engineer
2 Required Technical Skill Set** AWS, Kafka, Terraform/Ansible, AWS RDS
3 No of Requirements** 1
4 Desired Experience Range** 10+ Years
5 Location of Requirement PAN India
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be more than 3-5) Good understanding on the AWS cloud platform capabilities is mandatory.
Experience rolling out infrastructure as a code, using Terraform/Ansible stacks.
Very good understanding of Cloud databases and technologies including AWS RDS & Redshift.
Good knowledge of relational database concepts and SQL skills are needed.
AWS IAM services experience.
Operating Systems: 2+ years of experience in Linux/Unix environment.
Experience with scripting languages: Python/Shell.
Experience with AWS data migration services.
Experience with CI/CD tools and scripted pipelines with focus on Jenkins.
Experience integrating applications with third party encryption tools like voltage.
Interpersonal skills to include effective verbal and written communication within team, key leaders, and other departments.
Good-to-Have(Ideally should not be more than 3-5) AWS associate level certification or professional certifications.
Experience with GCP/OCI is preferred.
Experience with Confluent Kafka cluster administration.
Distributed system architecture awareness.
Experience with Tableau and Apache Airflow.
Experience setting up monitoring and alerting tools like Dynatrace and cloud native logging and monitoring frameworks.
SN Responsibility of / Expectations from the Role
1 Carry out POCs and Roll out new multi cloud solutions with minimal guidance.
2 Review Platform Infrastructure components, data warehousing environments and identify opportunities for improvement in terms of operational excellence, security, and cost optimization.
3 Administration of critical data platform components and provide L3 support as needed.
4 Quick assimilation of knowledge about new systems being rolled out, documenting, and sharing the same with team members, assist them as required. Should be an excellent team player.
