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.
RequirementsKey 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.
- 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.
- 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.
Skills Required
- 7-8+ 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
- Experience deploying cloud resources using AWS CloudFormation, Terraform, and AWS CodePipeline or equivalent CI/CD tools
- Deep technical understanding of Amazon EMR architecture, cluster lifecycles, and node configurations
- Experience with the Hadoop ecosystem, HDFS, and big data technologies
- Exposure to AWS EKS and containerized workloads
- Hands-on experience with Kerberos authentication and enterprise security integration
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
