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Tiger Analytics Inc.

Sr Data Engineer + Platform Engineer (GCP)

LocationHartford, Connecticut, United States
Work modehybrid
Typefull-time
SenioritySenior
DepartmentData Engineering
Company size5,001–10,000 people
PostedApr 21, 2026 · 5mo ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
Must have12
Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.
Experience with GCP Data Transfer service, Cloud Transfer Service, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc
Strong in Python.
Designing data models
Implementing real-time processing (Pub/Sub)
Managing security (IAM)
Automating infrastructure (Terraform)
Experience in Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
Experience with GCP Services deployments, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
Provisioning the GCP Resources
Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE)
GCP DevOps experience: Cloud Build, Cloud Deploy
Skills
SQL
Python
Google Cloud
BigQuery
Dataflow
Cloud Storage
GCP Data Transfer
Cloud Transfer Service
Pub/Sub
Cloud Data Flow
Cloud Data Proc
Cloud Data Prep
Cloud Composer
Terraform
Alloy DB
Vertex DB
Microservices
Cloud Run
Cloud Scheduler
Docker
Google Kubernetes Engine
GKE
Cloud Build
Cloud Deploy
IAM
About the company
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams
Requirements
Please note this is a Hybrid role with 3-4 days a week onsite.
· Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.
· Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc
· Strong in Python.
· Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)
· Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
· Experience with GCP Services deployments, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
· Provisioning the GCP Resources
· Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE)
· GCP DevOps experience: Cloud Build, Cloud Deploy
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities.
Legal
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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