Key Responsibilities

- Administer and maintain AWS environments supporting data pipelines, including S3, EMR, Athena, Glue, Lambda, CloudFormation, and Redshift.
- Cost Analysis – use AWS Cost Explorer to analyze services and usages, create dashboards to alert outliers on usage and cost
- Performance and Audit – use AWS Cloud Trail and Cloud Watch to monitory system performance and usage
- Monitor, troubleshoot, and optimize infrastructure performance and availability.
- Provision and manage cloud resources using Infrastructure as Code (IaC) tools (e.g., AWS CloudFormation, Terraform).
- Collaborate with data engineers working in PySpark, Hive, Kafka, and Python to ensure infrastructure alignment with processing needs.
- Support code integration with GIT repositories
- Implement and maintain security policies, IAM roles, and access controls.
- Participate in incident response and support resolution of operational issues, including on-call responsibilities.
- Manage backup, recovery, and disaster recovery processes for AWS-hosted data and services.
- Interface directly with client teams to gather requirements, provide updates, and resolve issues professionally.
- Create and maintain technical documentation and operational runbooks

Required Qualifications





- 3+ years of hands-on administration experience managing AWS infrastructure, particularly in support of data-centric workloads.
- Robust knowledge of AWS services including but not limited to S3, EMR, Glue, Lambda, Redshift, and Athena.
- Experience with infrastructure automation and configuration management tools (e.g., CloudFormation, Terraform, AWS CLI).
- Proficiency in Linux administration and shell scripting, including Installing and managing software on Linux servers
- Familiarity with Kafka, Hive, and distributed processing frameworks such as Apache Spark.
- Ability to manage and troubleshoot IAM configurations, networking, and cloud security best practices.
- Demonstrated experience in monitoring tools (e.g., CloudWatch, Prometheus, Grafana) and alerting systems.
- Excellent verbal and written communication skills.
- Comfortable working with cross-functional teams and engaging directly with clients.

Preferred Qualifications

- AWS Certification (e.g., Solutions Architect Associate, SysOps Administrator)
- Experience supporting data science or analytics teams
- Familiarity with DevOps practices and CI/CD pipelines

Familiarity with Apache Iceberg–based data pipelines

📌 AWS Admin (India)
🏢 RandomTrees
📍 India