Posted last month
Sr. AWS EMR Admin
@ Tiger Analytics Inc.
Remote in Canada
Overview
Tiger Analytics Inc. is hiring a Senior AWS EMR Administrator to manage, optimize and scale cloud data infrastructure. The role covers designing and maintaining persistent and transient AWS EMR clusters, automating deployments with Infrastructure as Code, and supporting batch data pipelines. The posting states full-time employment with 7–8+ years of AWS and EMR administration experience required.
Responsibilities:
- Architect, deploy and maintain persistent and transient AWS EMR clusters
- Design deployment automation with CloudFormation, CodePipeline or Terraform
- Manage EC2, S3 and storage resources for performance and cost
- Monitor batch pipelines and troubleshoot bottlenecks
- Perform patching, scaling, access controls and security configuration
Requirements summary:
- 7–8+ years of AWS cloud infrastructure and EMR administration experience
- Strong proficiency with AWS EMR, EC2, S3 and CloudFormation
- Experience with Terraform, CodePipeline or equivalent CI/CD tools
- Deep understanding of EMR architecture and cluster lifecycles
- Preferred: Hadoop, HDFS and Big Data; AWS EKS; Kerberos
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-09-29
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Experience | 7+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Tiger Analytics Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Full company description
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
- LinkedIn followers
- 630,421
- People associated on LinkedIn
- 6,613
- Reported office locations
- 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
- 111 Town Square Pl, Jersey City, New Jersey 07310, US
- 36 Robinson Rd, Singapore, Singapore 068877, SG
- 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
- 5151 Headquarters Dr, Plano, Texas 75024, US
- 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
- 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
- 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
- RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
- Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
- 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
- De Entree 252, Amsterdam, North Holland 1101 EE, NL
- Business categories
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Other recorded names
- Tiger Analytics
- Tiger Analytics Inc.
- Specialties
- Machine Learning
- Predictive Analytics
- Forecasting
- Natural Language Processing
- Computer Vision
- Cloud Data Platform Engineering
- Data-as-a-service
- Lean Data Governance
- Modern BI & Data Warehousing
- AI/ML Ops
- ML Product Engineering
- Data Engineering
- Data Modernization
- and Generative AI
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 5,001-10,000 employees |
| Headquarters | Santa Clara, CA |
| Organization type | Privately Held |
| Year founded | 2011 |
| Specialties | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Open jobs on Jobsy | 81 |
| View page |
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.
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.
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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