Sr Data Engineer + Platform Engineer (GCP)

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 with 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.

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.