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Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
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Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
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- Full-time

Tiger Analytics

Sr. AWS EMR Admin

Canada

Full-time

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Job details

Job type: Full-time
Experience: Experience: 7-8+ years of hands-on experience in AWS Cloud Infrastructure and AWS EMR Administration
Posting language: English
Posted: Oct 3, 2026

Original job description

Role Overview

We are seeking an experienced Senior AWS EMR Administrator to manage, optimize, and scale our cloud data infrastructure. In this hands-on technical role, you will be responsible for designing, deploying, and maintaining persistent and transient AWS EMR clusters to support large-scale batch data processing pipelines. You will collaborate closely with data engineering teams and leverage Infrastructure as Code (IaC) to ensure reliable, secure, and automated operations across our AWS ecosystem.

Requirements

Key Responsibilities

Cluster Management: Architecture, deploy, and maintain persistent and transient AWS EMR clusters tailored to business workloads and operational needs
Infrastructure Automation: Design and implement deployment automation using AWS CloudFormation, AWS CodePipeline, or Terraform
Storage & Compute Optimization: Manage AWS EC2, S3, and related compute and storage resources to ensure high performance, security, and cost efficiency
Data Pipeline Support: Monitor and support batch data processing workloads, troubleshooting performance bottlenecks and operational issues across the EMR environment
System Administration: Perform routine maintenance, patching, scaling, access controls, and security configurations across EMR and associated AWS services

Required Qualifications

Experience: 7-8+ years of hands-on experience in AWS Cloud Infrastructure and AWS EMR Administration
Core AWS Technical Stack: Strong proficiency with AWS EMR, EC2, S3, CloudFormation, and batch data environments
Infrastructure as Code (IaC) & CI/CD: Demonstrated experience deploying cloud resources using AWS CloudFormation, Terraform, and AWS CodePipeline (or equivalent CI/CD tools)
EMR Architecture: Deep technical understanding of Amazon EMR architecture, cluster life cycles, and node configurations

Preferred Qualifications

Experience with Hadoop ecosystem, HDFS, and Big Data technologies
Exposure to AWS EKS (Elastic Kubernetes Service) and containerized workloads
Hands-on experience with Kerberos authentication and enterprise security integration

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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More about this job

Responsibilities

Design, deploy, maintain, and optimize persistent and transient AWS EMR clusters for large-scale batch data processing. Automate infrastructure deployments, manage AWS compute and storage resources, and support workload monitoring, troubleshooting, maintenance, scaling, access controls, and security.

Requirements

Requires 7–8+ years of hands-on AWS cloud infrastructure and EMR administration experience, with strong proficiency in EMR, EC2, S3, CloudFormation, and batch data environments. Candidates should have experience with Terraform and CI/CD tools, plus a deep understanding of EMR architecture, cluster lifecycles, and node configurations; Hadoop, HDFS, EKS, containers, and Kerberos are preferred.

Skills

AWS EMR Administration
AWS Cloud Infrastructure
EMR Cluster Management
AWS EC2
Amazon S3
AWS CloudFormation
Terraform
AWS CodePipeline
Infrastructure as Code
CI/CD
Batch Data Processing
EMR Architecture
Cluster Lifecycle Management
Node Configuration
Hadoop
HDFS

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon EMR
AWS EC2
Amazon S3
AWS CloudFormation
Terraform
AWS CodePipeline
Infrastructure as Code
CI/CD
Cloud Infrastructure
Persistent Clusters
Transient Clusters
Batch Data Processing
Data Pipelines
EMR Architecture
Cluster Lifecycle
Node Configuration
Hadoop
HDFS
Big Data
AWS EKS
Kubernetes
Containerized Workloads
Kerberos
Enterprise Security
Cloud Resource Optimization
Access Controls
Patching
Cluster Scaling

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