Data Engineer + Platform Engineer (GCP)

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

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.

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.