Data Engineer

About the company

• Tiger Analytics pioneers what AI and analytics can do to solve toughest problems for organizations globally
• Develops bespoke solutions for Fortune 100 companies
• Offices in multiple cities across the US, UK, India, and Singapore

Responsibilities

• Build scalable ELT/ETL pipelines using SQL, Python, and core Google Cloud services (BigQuery, Dataflow, Cloud Storage)
• Work with GCP Data Transfer service, Cloud Transfer Service, Pub/Sub, Cloud Dataflow, Cloud Dataproc, Cloud Dataprep, Cloud Composer
• Design data models, implement real-time processing (Pub/Sub), manage security (IAM), automate infrastructure (Terraform)
• Provision GCP resources
• Containerization & orchestration: Docker and Google Kubernetes Engine (GKE)
• GCP DevOps: Cloud Build, Cloud Deploy

Requirements

• Proficiency in SQL, Python, and core Google Cloud services
• Strong in Python
• Experience with Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
• Experience with GCP Services deployments
• Hybrid role with 3-4 days a week onsite