Tiger Analytics

Delivers Data and AI transformation

Senior AWS EMR Administrator

Cloud EngineeringConfirmed live in the last 24 hours

Full-timeRemote in CanadaNo salary listedRemote

About the Job

Requirements

Seven to eight or more years of hands-on experience in AWS Cloud Infrastructure and AWS EMR Administration.
Strong proficiency with AWS EMR, EC2, S3, CloudFormation, and batch data environments.
Demonstrated experience deploying cloud resources using AWS CloudFormation, Terraform, and AWS CodePipeline or equivalent CI/CD tools.
Deep technical understanding of Amazon EMR architecture, cluster life cycles, and node configurations.

Responsibilities

Architect, deploy, and maintain persistent and transient AWS EMR clusters tailored to business workloads and operational needs.
Design and implement deployment automation using AWS CloudFormation, AWS CodePipeline, or Terraform.
Manage AWS EC2, S3, and related compute and storage resources to ensure high performance, security, and cost efficiency.
Monitor and support batch data processing workloads, troubleshooting performance bottlenecks and operational issues across the EMR environment.
Perform routine maintenance, patching, scaling, access controls, and security configurations across EMR and associated AWS services.

Desired Qualifications

Experience with the 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.

Sr. AWS EMR Admin

Tiger Analytics Inc. · Canada (Remote) · Full-time · Posted 2026-09-29

Workplace: remote

Department: Data Engineering

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.

Apply

Apply at Tiger Analytics Inc.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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