Senior Data & Platform Engineer (GCP) — Hybrid Role

Tiger Analytics, LLC; Hartford (CT); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Tiger Analytics, LLC is seeking candidates for a hybrid role requiring strong proficiency in SQL, Python, and Google Cloud services, including BigQuery and Dataflow, to build scalable ELT/ETL pipelines. Responsibilities include managing security, automating infrastructure, and provisioning GCP resources. This position offers significant career development opportunities within a fast-growing and entrepreneurial environment, ideal for those passionate about AI and analytics.

Qualifications

• Experience with GCP Data Transfer services, Pub/Sub, Cloud Data Flow.
• Strong in Python and designing data models.
• Experience in Alloy DB, Microservices, and Terraform.

Responsibilities

• Build scalable ELT/ETL pipelines utilizing SQL and Python.
• Manage security (IAM) and automate infrastructure (Terraform).
• Provision and deploy GCP Resources.

Skills

Proficiency in SQL

Proficiency in Python

Google Cloud services (BigQuery, Dataflow, Cloud Storage)

Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE)

GCP DevOps experience: Cloud Build, Cloud Deploy

Job description

Tiger Analytics, LLC is seeking candidates for a hybrid role requiring strong proficiency in SQL, Python, and Google Cloud services, including BigQuery and Dataflow, to build scalable ELT/ETL pipelines. Responsibilities include managing security, automating infrastructure, and provisioning GCP resources. This position offers significant career development opportunities within a fast-growing and entrepreneurial environment, ideal for those passionate about AI and analytics.