Sr Data Engineer + Platform Engineer (GCP)
About The Position
Tiger Analytics is a company that pioneers AI and analytics solutions for Fortune 100 companies globally. They develop bespoke solutions powered by data and technology. The company has offices in the US, UK, India, and Singapore, and a substantial remote global workforce. They are hiring for multiple roles across solution architecture, consulting, and forward-deployed engineering teams. This position offers significant career development opportunities in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibilities. Tiger Analytics provides equal employment opportunities without regard to various protected characteristics.
Requirements
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees
